Patent Application
20240078276
The present invention relates to a display device for supporting conversation capable of proposing an appropriate page of presentation corresponding to conversation during conversation.
For example, Japanese Patent No. 4551105 discloses a conference support system using voice recognition. The voice recognition recognizes voice as text, so that it can read out an appropriate slide. Furthermore, when a slide is tried to be read out using only a term recognized by the voice recognition, the term does not necessarily match with a search term associated with the slide, failing to appropriately read out the slide.
The present invention aims to provide a presentation system that effectively displays a keyword for selecting a next slide during presentation.
The present invention is basically based on a knowledge that a page candidate of presentation material associated with conversation is made to be extracted using not only a term included in conversation but also a term associated with the term to enable to appropriately propose a page candidate of presentation material associated with conversation.
The present invention relates to a display device including a computer and a mobile terminal. The display device is capable of displaying information to read out a page of presentation material associated with conversation.
The display device includes a voice recognition unit 53, a conversation-derived term extraction unit 55, a search keyword storage unit 57, a search keyword extraction unit 59, a material storage unit 61, a relevant page information extraction unit 63, a selection term extraction unit 65, and a selection term display unit 71.
The voice recognition unit 53 is an element to perform voice recognition.
The conversation-derived term extraction unit 55 is an element that extracts a plurality of conversation-derived terms from conversation information recognized by the voice recognition unit 53.
The search keyword storage unit 57 is an element for storing conversation-derived term and search keyword in an associated manner.
The search keyword extraction unit 59 is an element for extracting a plurality of search keywords from the search keyword storage unit 57 using a plurality of conversation-derived terms extracted by the conversation-derived term extraction unit 55.
The material storage unit 61 is an element for storing each page of a plurality of presentation materials, search term of each page, and score of each search term in an associated manner.
The relevant page information extraction unit 63 is an element for extracting a page of presentation material associated with search keyword from the material storage unit 59 using the search keyword extracted by the search keyword extraction unit 59 as a search term.
The selection term extraction unit 65 is an element for extracting a search keyword as a selection term for selecting a slide in a case where a page of presentation material extracted by the relevant page information extraction unit 63 exists.
The selection term display unit 71 is an element for making the display unit 69 display the selection term extracted by the selection term extraction unit 65.
The above-mentioned display device includes the above-mentioned each unit, enabling to display selection term on the display unit 69.
In the display device,
In the display device,
The display device may further include
In this case, the display device is capable of displaying the page of presentation material selected on the display unit 69 using the information related to the page of presentation material selected by the page selection information input unit 79.
The display device preferably further includes
The present invention also provides a program and a computer readable recording medium that records the program, the program causing a computer to function as the display device including
The present invention is capable of providing a presentation system for effectively displaying a keyword for selecting a next slide during presentation.
Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiment, and also includes one appropriately modified from the following embodiment by the person skilled in the art within an obvious range.
The present invention relates to a display device including a computer and a mobile terminal. The display device is capable of displaying information to read out a page of presentation material associated with conversation.
A monitor or a display of the mobile terminal 45 may function as a display unit 69.
As illustrated in
The voice recognition unit 53 is an element to perform voice recognition. Voice recognition is known. In order to perform voice recognition, a microphone for collecting voice and a voice analyzation unit for analyzing the voice input from the microphone are typically included. Voice recognition itself is known as described in Japanese Patent No. 6127422, Japanese Patent No. 6114210, and Japanese Patent No. 6107003 besides Japanese Patent No. 4551105 (Patent Literature 1). The voice recognition unit 53 enables to input voice included in conversation in the device as an input to store a term included in the conversation as data. The voice recognition unit 53 appropriately stores a term included in conversation in the storage unit. In this context, the voice recognition unit 53 may store a term as well as information related to volume or change in volume.
The conversation-derived term extraction unit 55 is an element that extracts a plurality of conversation-derived terms from conversation information recognized by the voice recognition unit 53. As described above, a term included in conversation is appropriately stored in the storage unit. The storage unit also stores a term capable of being used for search. The term may be, for example, noun. Also, for example, the storage unit may include a term extraction database storing term for term extraction to extract the term included in conversation in accordance with usage such as medical use or bank use. In this case, the conversation-derived term extraction unit 55 is sufficient to read out a term for term extraction with reference to the term extraction database, and determine whether the term for extracting term matches with a conversation-derived term stored in the storage unit. Then, the term for term extraction is sufficient to be stored in the storage unit as a “conversation-derived term” in a case where there is a conversation-derived term that matches with the term for term extraction. In this context, information related to appearance frequency of “conversation-derived term” and volume or change in volume in conversation during a predetermined period may be stored together in the storage unit. The term extraction database may also store a score indicating probability of becoming a search term for each term together with the term for term extraction. In this case, the conversation-derived term extraction unit 55 may extract a candidate of “conversation-derived term” using any one or more of “conversation-derived term” having a high score, “conversation-derived term” having a high frequency, “conversation-derived term” changed in volume (increased in volume), score, frequency, and change in volume as an index. Also, as to the above-mentioned each element, for example, coefficients may be stored for the above-mentioned respective elements to obtain score of conversation-derived term by multiplying the various coefficients. For example, when the coefficient is 1, no change occurs in the score. In contrast, when volume is largely increased, score of conversation-derived term can be adjusted by allocating the coefficient to be from 1.1 to 1.9 depending on degree of the change.
The search keyword storage unit 57 is an element for storing conversation-derived term and search keyword in an associated manner. The conversation-derived term is basically term assumed to be included in conversation (e.g., conversation between salesman and customer). In contrast, there is a discrepancy between the term assumed to be included in conversation and the term that is suitable to be used for search. A difference between so called spoken word and written word is also one of the discrepancies. Accordingly, in the present invention the search keyword storage unit 57 stores conversation-derived term and search keyword in an associated manner and converts into search keyword suited for search.
The search keyword storage unit 57 may be achieved by the storage unit (storage device), or achieved by a database and a database management system. The storage device stores search keyword corresponding to conversation-derived term for a plurality of conversation-derived terms. The storage device may also record a score used for search in association with search keyword.
Examples of conversation-derived terms are “losing weight”, “thin”, “slim”, and examples of search keywords corresponding to them are “sliming” “fatness”, body shape”, “physical examination”.
The search keyword extraction unit 59 is an element for extracting a plurality of search keywords from the search keyword storage unit 57 using a plurality of conversation-derived terms extracted by the conversation-derived term extraction unit 55. The search keyword extraction unit 59 extracts search keyword stored in association with conversation-derived term in the search keyword storage unit 57 for each of the plurality of conversation-derived terms. In this context, the search keyword extraction unit 59 may extract the score stored with the search keyword. The search keyword extraction unit 59 stores the search keyword (and score) extracted in the storage unit. In addition, the search keyword (and score) is extracted from the search keyword storage unit 57 for every (or a predetermined number of) conversation-derived term to store them in the storage unit. The search keyword extraction unit 59 extracts a search keyword using the search keyword (and its score) temporally stored in the storage unit. In this context, the search keyword extraction unit 59 may extract a search keyword having a high score. The search keyword extraction unit 59 stores the search keyword extracted in the storage unit. In this context, the search keyword extraction unit 59 may store a plurality of search keywords together with scores of the respective search keywords.
The material storage unit 61 is an element for storing each page of a plurality of presentation materials, search term of each page, and score of each search term in an associated manner.
The relevant page information extraction unit 63 is an element for extracting a page of presentation material associated with search keyword from the material storage unit 59 using the search keyword extracted by the search keyword extraction unit 59 as a search term. Each page of presentation material associated with search term is stored in the material storage unit 61 (together with, for example, score and ranking).
The relevant page information extraction unit 63 obtains information for extracting each page of presentation material having high score or ranking from the material storage unit 61 using search keyword.
The relevant page information extraction unit 63 may extract one or a plurality of search terms having high score from the material storage unit 59 as a page of presentation material associated with search keyword using the search keyword extracted by the search keyword extraction unit 59 as search term.
The selection term extraction unit 65 is an element for extracting a search keyword as a selection term for selecting a slide in a case where a page of presentation material extracted by the relevant page information extraction unit 63 exists. The selection term may be one or plural. Also, the number of search terms may be a predetermined number, for example, three, four, five, or six. The number of search terms may be determined using size of an area of the display unit in which selection term is displayed, font size of selection term, and the number or characters of selection term. In this case, for example, the selection term extraction unit 65 obtains information related to the length of the area in which selection term is displayed. Next, the selection term extraction unit 65 obtains information related to size of character at a portion where selection term is displayed in the display unit. The selection term extraction unit 65 obtains information related to a size other than the size per one-character portion in a case where selection term is displayed. In addition, the selection term extraction unit 65 extracts a selection term having a high priority one by one for the reason of, for example, high score or ranking, obtains a length of the selection term portion displayed on the display unit when selection terms are displayed, for example, when one, two, three, four, five, six selection terms are displayed, and compares the length of the selection term portion and the length of the portion where selection terms are displayed. Then, when the length of the selection term portion is shorter than the display portion, one selection term is added. In this manner, the selection term extraction unit 65 can extract the appropriate number of selection terms.
The selection term display unit 71 is an element for making the display unit 69 display the selection term extracted by the selection term extraction unit 65.
The above-mentioned display device includes the above-mentioned each unit, enabling to display selection term on the display unit 69.
A person in charge possessing the above-mentioned display device performs conversation with a customer (start conversation: S01).
Then, the voice recognition unit 53 voice-recognizes information related to the conversation including a term including in the conversation (voice recognition step: S02). The information (including term) related to the conversation voice-recognized is appropriately stored in the storage unit. Note that the display device may store a coefficient corresponding to a change of voice such as frequency of term in a predetermined time, increase or decrease of volume in a case where a certain term is uttered, or change of wavelength of voice to read out the predetermined coefficient in association with the term in a case where the information related to the conversation is analyzed.
The conversation-derived term extraction unit 55 appropriately reads out the information related to the conversation recognized by the voice recognition unit 53 from the storage unit, and extracts a plurality of conversation-derived terms using the information read out (conversation-derived term extraction step: S03). Since including a database related to conversation-derived term, the display device can select noun or an effective term for search from among the terms included in the conversation by referencing to the database. In this manner, a conversation-derived term is extracted. As to conversation-derived term, a score of the conversation-derived term may be stored in association with the conversation-derived term in consideration of possibility of being used for search.
The search keyword storage unit 57 stores conversation-derived term and search keyword in an associated manner. In this context, a score of the search keyword may be stored in association with the search keyword in consideration of possibility of being used for search. The search keyword extraction unit 59 extracts a plurality of search keywords from the search keyword storage unit 57 using the pluralities of conversation-derived terms extracted by the conversation-derived term extraction unit 55 (by appropriately reading out from the storage unit) (search keyword extraction step: S04). In this manner, search is performed using not conversation-derived term (there is a case where conversation-derived term is search keyword as it is), but search keyword converted from conversation-derived term, making it possible to search an appropriate page of presentation material.
The material storage unit 61 stores each page of a plurality of presentation materials, search term of each page, and score of each search term in an associated manner. Then, using the search keyword extracted by the search keyword extraction unit 59 as a search term, the relevant page information extraction unit 63 extracts a page of presentation material associated with the search keyword from the material storage unit 59 (page extraction step: S05). The page of presentation material need not be displayed in this stage, and one or a plurality of related pages of presentation material is sufficient to exist and information for reading out the related pages (e.g., information related to material ID and the number of pages) is sufficient to be read out. The information for reading out associated page extracted is appropriately stored in the storage unit. The relevant page information extraction unit 63 may extract one or a plurality of search terms having high score from the material storage unit 61 as a page of presentation material associated with search keyword using the search keyword extracted by the search keyword extraction unit 59 as search term.
Next, the selection term extraction unit 65 determines whether page of presentation material extracted by the relevant page information extraction unit 63 exists, and when determined that page exists, the selection term extraction unit 65 extracts a search keyword as a selection term to make a slide be selected (selection term extraction step: S06). Note that the search keyword may be extracted as a selection term as it is. Then, the selection term extracted is appropriately stored in the storage unit.
The selection term display unit 71 (appropriately reads out the selection term extracted by the selection term extraction unit 65 from the storage unit and) makes the display unit 69 display the selection term extracted by the selection term extraction unit 65 (selection term display step: S07).
For example, any of the selection terms displayed on the touch panel is touched by a person in charge (user) (or a selection term is selected in a state where a cursor is moved by a mouse or the like in a case where the display unit is a monitor of desk-top computer). A selection term input unit 75 inputs information indicating that a specific selection term is selected in the display device, and the display device receives the input information (selection information input step: S08). The information related to the specific selection term input is appropriately stored in the storage unit.
A page candidate read out unit 77 reads outs information related to a page candidate of the plurality of presentation materials related to selection term using the selection term (by appropriately reading out the selection term from the storage unit) input by the selection term input unit 75. A reduced screen for page candidate is created using the read-out information and the reduced screen is displayed on the display unit (page candidate display step: S09).
When the display unit is a touch panel, a person in charge (user) presses an upper portion of a page candidate iconified. This makes the display device determine that a specific candidate is selected. That is, a page selection information input unit 79 receives information indicating that a specific page of presentation material is selected from among the plurality of page candidates of presentation material read out by the page candidate read out unit 77. The information received is input to the display device. The information input (information indicating that a specific page is selected, or information related to specified page) is appropriately stored in the storage unit. In this case, the display device makes the page of presentation material selected be displayed on the display unit 69 using the information related to the page of presentation material selected by the page selection information input unit 79 (by appropriately reading out the information from the storage unit unit) (page display step: S10).
The display device preferably further includes
As illustrated in
The term extraction unit 3 is a unit for extracting term in material that is term included in a certain page of material. An example of material is so called a presentation material. Format of the presentation material is not specifically limited. Examples of presentation software include Microsoft (registered trademark), PowerPoint (registered trademark), KINGSOFT (registered trademark) KINGSOFT Office (registered trademark), Apache (registered trademark), OpenOffice Impress (registered trademark), Keynote (registered trademark), Lotus⋅Freelance (registered trademark), Illustrator (registered trademark), PDF (registered trademark), and Prezi (registered trademark). An example of material is, for example, a material created by any of the presentation software. The presentation software is software capable of displaying content for each page on, for example, the display unit such as a screen.
In contrast, the term extraction unit 3 itself is known. The presentation material includes a plurality of kinds of text information. The presentation material is stored in, for example, the server storage unit or the storage unit (in the computer). The term extraction unit 3 reads out each page of presentation material stored, and reads out text included in each page. Then, the term extraction unit 3 subjects the text read out to word class analyzation. In this context, for example, a word class database exists in the storage unit, and various terms and their word classes are stored therein. In this context, score as search term of various terms may be also stored together in the storage unit in accordance with usage. For example, when the search material information storage device is for pharmaceutical manufacturers, MR (medical representative), or MS (pharmaceutical wholesale), a high score may be assigned to various disease names as compared with general noun. Also, a high score higher may be assigned to various drug names and active ingredients as compared with general noun although the score is lower than that of disease names. The term extraction unit 3 is sufficient to extract term (noun in particular) included in text to extract one or a plurality of terms in material using its frequency or the score of the term stored in the storage unit. For example, when the term extraction unit 3 extracts term A, term B, and term C from a certain page, the term C is appeared by two times, the term A and term B are appeared by one time, and scores of the terms A, B, and C stored in the storage unit are respectively 5, 50, and 40, scores of the term A, B, and C are sufficient to be respectively determined to be 5, 50, and 80. For example, when the number of extractions of term in material is set to 2, the term extraction unit 3 is sufficient to extract the terms C and B as terms in material. The terms in material (terms C and B) extracted are stored in the storage unit in association with the information related to page that allows to read out the page. This enables to read out the terms C and B with their pages. Another example of the term extraction unit 3 is one that identifies a portion where the largest font is used in a certain page of presentation. The term extraction unit 3 applies a predetermined coefficient to a term in material included in the portion where the largest font is used. The coefficient (first coefficient: a1) is sufficient to be stored in the storage unit. The term extraction unit 3 stores the first coefficient in the storage unit together with the term in material included in the portion where the largest font is used. The term extraction unit 3 may also store a coefficient (second coefficient: a2) that depends on the size of font together with the term in material in the storage unit.
The keyword storage unit 5 is a unit to store term that becomes a keyword associated with the term in material. The keyword storage unit 5 is sufficient to be provided by a storage unit and an element for reading out information from the storage unit (e.g., control program). The keyword is a term to make search of each page easy by using not only a plurality of terms in material but also a term associated therewith as a search term when each page is searched. This reduces search terms stored in association with each page, enabling quick search. In some cases, a term in material may be a keyword as it is. The keyword can be regarded as a first conversion word related to term in material. The keyword may be a term suitable to be used for search selected from a plurality of kinds of terms in material.
The term in material is a term included in presentation. Accordingly, in some cases, the term in material does not match with search term or is not suitable as search term. For example, a term of ob gene and ob/ob mouse is supposed to be included in presentation. The terms are associated with obesity gene (and obesity, obesity experimental animal). Accordingly, the keyword storage unit 5 stores, in association with ob gene and ob/ob mouse that are terms in material, obesity gene (and obesity, obesity experimental animal) that is their keyword.
Because of presence of the keyword storage unit 5, search term stored in association with each page becomes a unified term. This makes it possible to quickly read out an associated page in search.
The keyword extraction unit 7 is a unit for, using a term in material extracted by the term extraction unit 3, extracting words that become a plurality of keywords associated with the term in material from the keyword storage unit 5. The keyword storage unit 5 stores a term that becomes a keyword in association with the term in material. This enables the keyword extraction unit 7 to read out a term that becomes a keyword associated with the term in material from the keyword storage unit 5 using the term in material. Typically, a plurality of terms in material is extracted from a certain page. Accordingly, a term that becomes a keyword for a certain page is typically extracted by a plurality of times. Also, the number of terms that become a keyword associated with term in material is also plural typically (score may be assigned to each of the terms). Accordingly, a term that becomes a keyword for a certain page is typically extracted by a plurality of times. Note that a case may occur where a term in material is a term that becomes a keyword. That is, a term in material may be extracted as a keyword as it is. The keyword extraction unit 7 may evaluate the score of each of the keywords using the coefficient of term in material and the score of keyword stored in the storage unit. An example of score of keyword is a1×a2×b1. In order to calculate the score, a control program for performing the above-mentioned calculation is stored in the storage unit, so that the control unit is sufficient to read out the control program, read out each coefficient and score stored in the storage unit, make the arithmetic unit perform calculation for obtaining a1×a2×b1, and make the storage unit store a calculation result. Also, appearance frequency of term in material (this coefficient is referred to as a21) and an addition coefficient in a case where a specific keyword is extracted from among a plurality of types of terms in material (this coefficient is referred to as azz) may be made to be stored in the storage unit, and a score of keyword may be obtained by obtaining a1×a2×a21×a22×b1 to store the score in the storage unit. Besides, a strong coefficient may be applied for an emphasis color included in a certain page. In this case, the keyword extraction unit 7 is sufficient to include a unit for analyzing color of term from page, and a storage unit for storing a coefficient for each color, and read out the coefficient related to the color from the storage unit using the color of term analyzed. It is sufficient that coefficient and score are stored for various elements for not only keyword but also topic word and category word in the same manner basically, the coefficient and score are read out, a score is obtained by multiplication, addition, or the like, the score of each word is stored for comparation to obtain a leading candidate.
The topic word storage unit 9 is a unit that stores a topic word associated with a keyword. The topic word storage unit 9 is sufficient to be provided by a storage unit and an element (e.g., control program) for reading out information from the storage unit.
For example, the topic word storage unit is sufficient to store a topic word such as obesity in association with a keyword such as obesity gene, obesity, or obesity experimental animal). The topic word may be a term that further unifies a plurality of keywords or a term made to be a superordinate concept. Using the topic word enables quick search. Examples of topic word include disease name, drug name, active ingredient name, and pharmaceutical company name. That is, the topic word can be regarded as a second conversion word related to term in material. The topic word may be a term obtained by assigning a term suitable to be used for search for a plurality of kinds of keywords. Also, the topic word may be related to message.
The topic word extraction unit 11 is a unit for extracting a topic word associated with a keyword from the topic word storage unit 9 using a plurality of keywords extracted by the keyword extraction unit 7.
A topic word associated with a keyword is stored in the topic word storage unit 9. Accordingly, the topic word extraction unit 11 extracts a topic word associated with a keyword from the topic word storage unit 9 using the plurality of keywords extracted by the keyword extraction unit 7.
The search term candidate extraction unit 13 is a unit for extracting a candidate of search term of a certain page of material from among the topic word extracted by the topic word extraction unit 11 and the plurality of keywords extracted by the keyword extraction unit 7.
For example, one or a plurality of topic words supposed to be associated with a certain page are stored in the storage unit. Also, a plurality of keywords supposed to be associated with a certain page is stored.
When the control program controls to determine, for example, every topic word as a candidate of search term and determine several keywords (e.g., four keywords in consideration of size to be displayed on the display unit) as candidates of search term, the search term candidate extraction unit 13 determines every topic word read out as a candidate of search term and determines the four keywords as candidates of search term.
Note that the keyword storage unit 5 may store a plurality of keywords and scores or the respective keywords in an associated manner and the keyword extraction unit 7 may extract the scores of the respective keywords with the plurality of keywords. In this case, for example, a keyword having a high score is extracted as a candidate of search term.
The topic word storage unit 9 may store topic words and scores of the respective topic words in an associated manner, and the topic word extraction unit 11 may determine a predetermined number (one or two or more) of keywords having high score from among the plurality of keywords extracted by the keyword extraction unit 7 as topic word leading candidates to extract a topic word associated with the predetermined number (one or two or more) of topic ward leading candidates from the topic word storage unit 9.
The above-mentioned search material information storage device may further include
The category word storage unit 25 is a unit for storing category word associated with topic word.
The category word extraction unit 27 is a unit for extracting category word associated with topic word from the category word storage unit 25 using the topic word extracted by the topic word extraction unit 11. The category word can be regarded as a third conversion word related to term in material. The category word may be a selected term suitable to be used for category search for a plurality of kinds of topic words. An example of category word may be one that indicates a target probably having an interest in material. For example, when a certain page of material is of a certain drug for diabetes for the MR (the drug is, for example, sufficient to be stored in association with topic word), examples of category words may be “MR”, “diabetes”, “medicine”. Alternatively, when a certain page of material is of accounting information for banker of bank, examples of category word may be banker or may be “banker” and “accounting”. Still alternatively, category word may be information related to product. The search term candidate display unit 17 of the search material information storage device further extracts the category word extracted by the category word extraction unit 27 as one candidate of search term.
The search term candidate extraction unit 13 may extract a predetermined number (one or two or more) of keywords having high score from among the plurality of keywords extracted by the keyword extraction unit 7 as candidates of search term. Alternatively, the search term candidate extraction unit 13 may extract a predetermined number (one or two or more) of topic words from among the topic wards extracted by the topic word extraction unit 11 using score of keyword and score of topic word as candidates of search term. For example, the topic word storage unit 9 stores topic words and scores or the respective topic words in an associated manner. Also, the keyword storage unit 5 stores a plurality of keywords and scores of the respective keywords in an associated manner. An original keyword exists for a certain topic word. That is, topic word is one read out using keyword. Topic word results in being constantly associated with one or a plurality of keywords. In this case, the search term candidate extraction unit 13 reads out the scorer related to a certain topic word from the topic word storage unit 9 as well as reads out scores of respective keywords that become extraction originates of the topic word from the keyword storage unit 5. Then, when a plurality of keywords exists for a certain topic word, the search term candidate extraction unit 13 makes the arithmetic unit sum scores of respective keywords as well as multiplies the score of topic word by the score of keyword (or total score of keywords). In this manner, tallied score related to topic word is obtained to make the storage unit store the tallied score. The search term candidate extraction unit 13 reads out the tallied score for a plurality of topic words and makes the arithmetic unit compare the tallied scores to extract a predetermined number (one or two or more) of topic words. In this manner, the search term candidate extraction unit 13 can extract a predetermined number of topic words even when the number of topic words to be extracted is determined.
The search term candidate display unit 17 is a unit for making the display unit 15 display a candidate of search term extracted by the search term candidate extraction unit 13.
The search term candidate display unit 17
The material search information storage unit 21 is a unit for storing the search term input by the search term input unit 19 and information related to a certain page of material in an associated manner.
The device of the present invention may be one that further displays a candidate of content type in accordance with a kind of presentation material and stores the content type in association with each page of presentation (or presentation itself). In this case, the device of the present invention reads out format of presentation (Power Point (registered trademark), PDF (registered trademark), Word (registered trademark), or the like) stored in the storage unit. The device of the present invention reads out text included in the format read out. The device of the present invention includes a term database for analyzing content storing term for analyzing content. The device of the present invention analyzes type of content using the term stored in the term database for analyzing content. For example, when material is of PDF (registered trademark), and a text named “attached document” exists at a relatively early stage, “attached document” is extracted as a candidate of content type of the material. Then, when “attached document” is displayed as content type on the display unit and an authentication in input by the user, “attached document” related to content type is stored in association with the material.
The search term input unit 19 is a unit for receiving an input indicating being a search term among the candidates of search term displayed on the display unit 15. In the example of
The user creates presentation material (S101). The terminal or computer of the user stores presentation material in the storage unit (or the storage unit of the server).
The device 1, for each page of presentation material, extracts a term in material that is a term included in the page (S102). In this context, the device 1 may apply a score to the term in material. For example, when appearance frequency of the term in material is high, or when the term in material is bold letter, colored character, or accompanied by animation or the like, an additional point may be preliminarily registered to apply a score to the term in material using the additional point information registered. Also, the device 1 may have a dictionary of term in material, term in material and score may be stored in an associated manner for various terms in material in the dictionary, and the device 1 may read out score of term in material. In addition, score of term in material may be obtained using score of term in material existing in the dictionary and score related to the additional point (e.g., by addition or multiplication). In this case, when the number of terms in material is preliminarily set, the term in material having a high score may be determined as a term in material.
Using one or the plurality of terms in material extracted, the device 1 extracts a plurality of keywords associated with the one or the plurality of terms in material from the storage unit (S103). A term that becomes a keyword associated with term in material is recorded in the storage unit. Accordingly, the device 1 can extracts a keyword associated with a term in material from the storage unit by using the term in material. In this context, a score as a search term may be applied for each keyword. When the same keyword is selected from different terms in material, the possibility is high that the keyword becomes a search term, so that the keyword may be a target of additional point. In this case, additional point related to high frequency of keyword may be registered and additional point in accordance with duplicate count of keyword may be read out for addition or multiplication with score. In this manner, a plurality of keywords (and scores of the respective keywords) can be obtained.
When the device 1, using a plurality of keywords, extracts a topic word associated with the keywords from the storage unit (S104), the processing is similar to the extraction step of keyword.
The device 1 may extract a category word associated with a topic word from the storage unit using the topic word extracted (S105). This step is an optional step.
The device 1 extracts a candidate of search term of a certain page of material from among a topic word and a plurality of keywords (and the category word) (S106). The device 1 is sufficient to preliminarily store a control command for extracting candidate of search term, and extract candidate of search term of a certain page of material from among the topic word, the plurality of keywords (and the category word) in accordance with the control command. An example of the control command is to extract four keywords having high score from among the plurality of keywords, two topic words having high score among topic words (and every category word) as candidates of search term. In this manner, a candidate of search term for a certain page of presentation material is automatically extracted. Note that, the storage unit may store the candidate of search term extracted as a search term of the certain page.
Next, when the search term is made to be authenticated or determined by the user, the candidate of search term extracted may be made to be displayed on the display unit by the device 1 (S107). In this context, a target page of presentation (reduced in size) and a topic word and a plurality of keywords (and category word) that have not been determined as candidates of search term may be displayed together on the display unit. In this case, the user is able to select search term.
When an authentication is made by the user as it is, the terminal receives an input related to the authentication, and the candidate of search term extracted by the device 1 is stored in the storage unit as search term associated with a certain page of presentation material as it is (S111).
In contrast, when the terminal receives an input indicating that candidate of search term is rejected, or when the terminal receives an input indicating that a term other than candidate of search term is adopted, a candidate of search term reflecting correction of the cases is determined as a search term associated with the certain page in the storage unit (S121).
When an authentication is made by the user after performing the above-mentioned correction, the terminal receives an input related to the authentication, and a candidate of search term corrected is stored in the storage unit as a search term associated with the certain page of presentation material (S122).
The present invention also provides
The present invention also provides
The present invention is usable in display terminal industry, information and telecommunications industry, software development, pharmaceutical industry, financial industry, and the like.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2017-109340 | Jun 2017 | JP | national |
The present invention is a continuation application of U.S. patent application Ser. No. 16/618,094 filed Nov. 27, 2019, which is a national phase application of International patent application no. PCT/JP2018/017600, filed May 7, 2018, which claims the benefit of Japanese patent application no. 2017-109340, filed Jun. 1, 2017, the disclosure of which is incorporated in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16618094 | Nov 2019 | US |
| Child | 18498077 | US |
