JP6315599B2 - Marking support method, marking support server and computer - Google Patents

Description

  The present invention relates to a technique for highlighting a character string of content.

  2. Description of the Related Art Conventionally, there are services or applications that provide a function for highlighting a character string (text) with respect to content (electronic file) displayed on a digital device. For example, for PDF (Portable Document Format) documents, the annotation function provided by Adobe Reader allows the viewer to highlight part of the text (see Non-Patent Document 1). In addition, there is an add-on that can draw a marker on a web page being browsed by installing it in a Firefox browser (see Non-Patent Document 2).

ADOBE, "Acrobat Help / Adobe Reader Annotation Function (Adobe Reader X)", Internet, <URL: https://helpx.adobe.com/jp/acrobat/kb/4561.html> WiredMarker, “Firefox free add-on for bookmarking, collecting, organizing and sharing information”, Internet, <URL: http://www.wired-marker.org/index.html>

  In order to highlight a character string on a digital device, as described in Non-Patent Document 2, the viewer uses the input means such as a mouse, a stylus pen, and a finger to select a range of the character string to be highlighted from the start point. It is common to specify by an operation that traces to the end point. This is the same operation as drawing a marker on a paper medium document with a marker pen.

  When displaying content on a digital device with a small screen size, such as a tablet or smartphone, and specifying the range of the character string to be highlighted with a stylus pen or finger, the character size of the displayed character string may be small Therefore, it is difficult to specify the range correctly. Also, when you are in a hurry, it is easy to specify the range to be highlighted, and it is difficult to specify the range as intended by the viewer.

  As a result, the range specification of the character string fails and the number of times the range specification is redone increases, or the content needs to be enlarged and displayed by an operation such as pinch out to prevent the range specification failure. There is.

  In addition, because the range specification cannot be re-executed despite the range specification failure, for example, after the range specification such as copying and pasting the specified character string range, or when using the specified range There is a problem in that the convenience of the viewer is impaired.

  The present invention has been made in view of the above problems, and an object of the present invention is to support the user's marking operation when highlighting a partial character string of the content and improve the user's convenience. There is to do.

In order to solve the above-described problem, the present invention is a marking support method performed by a marking support server, and extracts a common character string that is marked in common using a plurality of marking operations history for content. In the extraction step, and in the content, when a part of the morpheme including the character immediately before the common character string is included in the common character string, the morpheme including the immediately preceding character is added to the common character string. In addition, in the content, when a part of a morpheme including a character immediately after the common character string is included in the common character string, an additional step of adding the morpheme including the character immediately after the common character string to the common character string If the common character string after said additional step, have rows and outputting step, the output as marking candidate character string, morphemes including the previous character The morpheme obtained by performing morpheme analysis on the character string before and after the character immediately before the common character string using the morpheme analysis engine, and the morpheme including the immediately following character is the character immediately after the common character string. Is obtained by executing morpheme analysis using the morpheme analysis engine with respect to the character string before and after.

  The present invention is a marking support method performed by a computer, wherein a receiving step of receiving a marking candidate character string in content from a server and a user's marking operation on the content are detected, and the marking operation start position is detected. An acquisition step of acquiring the corresponding character of the content, and a display step of highlighting the marking candidate character string on the content when the character acquired in the acquisition step is included in the marking candidate character string And do.

  The present invention is a marking support method performed by a computer, wherein a receiving step of receiving a marking candidate character string in content from a server and a user's marking operation on the content are detected, and the marking operation start position is detected. An acquisition step of acquiring the corresponding character of the content; and if the marking candidate character string includes the character acquired in the acquisition step, the marking candidate character string on the content follows the marking operation. When the first display step of highlighting and a marking operation on another character different from the marking candidate character string is detected, the other character is highlighted after the marking operation. And a second display step.

The present invention is a marking support server, an extraction unit that extracts a common character string marked in common using marking operation histories for a plurality of users' contents, and in the content, the common character string When a part of the morpheme including the immediately preceding character is included in the common character string, the morpheme including the immediately preceding character is added to the common character string, and the content immediately after the common character string is added to the content. When a part of a morpheme including a character is included in the common character string, an adjustment unit that adds the morpheme including the immediately following character to the common character string, and a common character string after the addition by the adjustment unit A morpheme including an immediately preceding character is a morpheme analysis error for a character string before and after the character immediately before the common character string. The morpheme obtained by executing morpheme analysis using gin, and the morpheme including the immediately following character is subjected to morpheme analysis using the morpheme analysis engine for the character string before and after the character immediately after the common character string. To get it.

The present invention is a computer that detects a marking candidate character string in content from a server and a user's marking operation on the content and detects the content of the content corresponding to the start position of the marking operation. An acquisition unit that acquires a character; and a display unit that highlights the marking candidate character string on the content when the acquired character is included in the marking candidate character string.

  According to the present invention, when highlighting a partial character string of content, it is possible to support a user's marking operation and improve user convenience.

It is a block diagram of the marking assistance system in this embodiment. It is a block diagram which shows the structure of a starting point end point extraction part. It is a figure which shows an example of the data structure of content DB. It is a figure which shows an example of the data structure of operation history DB. It is a figure which shows an example of the data structure of marker DB. It is a figure which shows an example of the data structure of highlight DB. It is a block diagram which shows the structure of a marker display part. It is a flowchart which shows an example of the process of the starting point end point extraction part of a server. It is a flowchart which shows the modification of the process of the starting point end point extraction part of a server. It is a flowchart which shows an example of a process of the marker display part of a client.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a diagram showing an overall configuration of a marking support system according to an embodiment of the present invention. The illustrated marking support system includes a client 1 (computer, digital device, etc.) used by a user and a server 2 (marking support device), which are connected by a network such as the Internet.

  The server 2 includes a content acquisition unit 21, a start point / end point extraction unit 22, a content DB 23, an operation history DB 24, an operation history update unit 25, and a marker DB 26.

  The content acquisition unit 21 receives the acquisition request for the content C from the client 1 (content request transmission unit 11), acquires the electronic file FC of the content C from the content DB 23, and obtains marker information MC related to the content C from the marker DB 26. The information is acquired and transmitted to the client (content receiving unit 12).

  The start point / end point extraction unit 22 uses the operation history DB 24 to extract, as a marking candidate character string, a character string (text range) that is likely to be marked for each content stored in the content DB 23. Information regarding the extracted marking candidate character string is stored in the marker DB 26. At this time, there may be a plurality of marking candidate character strings extracted from one content.

  The start point / end point extraction unit 22 may execute the process at a timing when a new record is added to the operation history DB 24, or may execute the process at regular time intervals. That is, the marker DB 26 is updated as needed. However, when the same record is already stored in the marker DB 26, it is not necessary to newly store the same record.

  FIG. 2 is a block diagram showing a specific configuration of the start point / end point extraction unit 22 of the present embodiment. The illustrated start point / end point extraction unit 22 includes an extraction unit 221, an adjustment unit 222, and an output unit 223. The extraction unit 221 extracts a common character string marked in common using the operation history DB 24 for the contents of a plurality of users.

  When a part of the morpheme including the character immediately before the common character string is included in the common character string, the adjustment unit 222 adds the morpheme including the immediately preceding character to the common character string, and immediately after the common character string. When a part of the morpheme including the character is included in the common character string, the morpheme including the immediately following character is added to the common character string to adjust the common character string. In addition, the adjustment unit 222 performs processing to determine whether the ratio of marking the common character string under a predetermined operation condition is equal to or higher than a predetermined threshold using the operation history DB 24 in the extracted common character string. Whether or not to perform the adjustment process may be determined according to the determination result. The output unit 223 outputs the adjusted common character string to the marker DB 26 as a marking candidate character string.

  FIG. 3 is a diagram illustrating an example of the data structure of the content DB 23. The content DB 23 is a DB for managing information related to content, and one record holds information related to one content (electronic file).

  The illustrated content DB 23 includes a content ID column and a content column. The content ID column stores an ID that can uniquely identify the content. Further, a content file is stored in the content column. The file format of the content file is not limited to a predetermined format, and any file format can be used. For example, various file formats such as PDF, word, and html can be used.

  FIG. 4 is a diagram illustrating an example of the data structure of the operation history DB 24. The operation history DB 24 is a database in which history information of marking operations performed by a plurality of users is stored. The illustrated operation history DB 24 includes a user ID column, a content ID column, a character string column, a start point column, an end point column, and the like.

  The user ID column stores an ID that can uniquely identify the user. The content ID column stores an ID that can uniquely identify the content. The character string column stores a series of character strings (text) highlighted by the user in the content. The start point column stores absolute coordinates in the content indicating the start position of the character string, and the end point column stores absolute coordinates in the content indicating the end position of the character string.

  The operation history update unit 25 is a marking in which a user browsing the content highlights a character string at a predetermined location for any content stored in the content DB 23 from the client 1 (marker display unit 14). The operation information is acquired, and the operation information (record) is registered in the operation history DB 24.

  FIG. 5 is a diagram illustrating an example of the data structure of the marker DB 26. The marker DB 26 is a database that stores information on marking candidate character strings extracted by the start point / end point extraction unit 22. The illustrated marker DB 26 includes a content ID column, a marking candidate character string (marker text) column, a marker start point column, a marker end point column, and the like.

  The content ID column stores an ID that can uniquely identify the content. In the marking candidate character string column, marking candidate character strings (a series of character strings) extracted for each content by the start point / end point extraction unit 22 are stored. The marker start point column stores absolute coordinates in the content indicating the start position of the marking candidate character string, and the marker end point column stores absolute coordinates in the content indicating the end position of the marking candidate character string.

  The client 1 is a device that displays content acquired from the server 2 on a display and can be browsed by the user. For the client 1, for example, a smartphone, a tablet terminal, a PC, or the like can be used. The illustrated client 1 includes a content request transmission unit 11, a content reception unit 12, a highlight DB 13, and a marker display unit 14.

  The content request transmission unit 11 receives a user operation and transmits a content C acquisition request to the content acquisition unit 21 of the server 2. The content C is specified by a user who is a user of the client 1, for example.

  The content receiving unit 12 receives information related to the content C from the server 2 (content acquisition unit 21). The information related to the content C is the electronic file FC of the content C and marker information MC (record) corresponding to the content C stored in the marker DB 26. The content receiving unit 12 displays the content C of the electronic file FC on the display of the client 1 and stores marker information MC related to the content C in the highlight DB 13.

  FIG. 6 is a diagram illustrating an example of the data structure of the highlight DB 13. Since the highlight DB 13 has the same data structure as the marker DB 26, description thereof is omitted here.

  The marker display unit 14 obtains a drag start event for the content generated by the user and assists the user in drawing the marker for the content.

  FIG. 7 is a block diagram showing a specific configuration of the marker display unit 14 of the present embodiment. The marker display unit 14 shown in the figure includes an acquisition unit 141 and a display unit 142.

  The acquisition unit 141 detects the user's marking operation on the content, and acquires the character of the content corresponding to the start position of the marking operation. When the acquired character is included in the marking candidate character string, the display unit 142 highlights the marking candidate character string on the content. Alternatively, when the acquired character is included in the marking candidate character string, the display unit 142 highlights the marking candidate character string on the content following the user's marking operation, and is different from the marking candidate character string. When a marking operation on another character is detected, the other characters are highlighted after the marking operation.

  As the client 1 and the server 2 described above, for example, a general-purpose computer system including a CPU, a memory, an external storage device such as a hard disk, an input device, and an output device can be used. In this computer system, each function of each unit is realized by the CPU executing a predetermined program loaded on the memory. For example, each function of the client 1 and the server 2 is realized by the CPU of the client 1 executing the program for the client 1 and the CPU of the server 2 executing the program for the server 2. .

  In addition, the program for the client 1 and the program for the server 2 can be stored in a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, a DVD-ROM, or distributed via a network. You can also.

  Below, the process of this embodiment is demonstrated.

  FIG. 8 is a flowchart illustrating an example of processing of the start point / end point extraction unit 22 of the server 2. The start point / end point extraction unit 22 uses the operation history DB 24 to extract a marking candidate character string for each content.

  In S110, the start point / end point extraction unit 22 acquires a record regarding the unprocessed content C from the operation history DB 24, and generates a set Sc.

  For example, in the operation history DB 24 shown in FIG. 3, when the content with the content ID C1 is unprocessed, the start point / end point extraction unit 22 acquires the following six records with the content ID C1, and uses them as elements of the set Sc. . That is, a set Sc having the acquired record (excluding the content ID) as an element is generated.

[ID: User1, text: Descent at Ishikawacho Station, start point: (80, 20), end point: (85,20))],
[ID: User2, text: sightseeing in Minato Mirai, start point: (10, 5), end point: (20, 5))],
[ID: User2, text: Get off at Ishikawacho Station, start point: (80, 20), end point: (88,20))],
[ID: User3, text: Get off at Ishikawacho Station, start point: (80, 20), end point: (87,20))],
[ID: User4, text: convenient to get off at Ishikawacho Station, start point: (80, 20), end point: (90, 20))],
[ID: User5, text: Get off at Kawamachi Station, start point: (81, 20), end point: (86,20))]
In S120, the start point / end point extraction unit 22 divides the set S into one or more groups so that elements close to the position where the character string is displayed are in the same group. For example, an element s ′ (s′∈ S and s ≠ s ′) including a part of the character string is acquired in a range where the character string of the element s (s ∈ S) is displayed. When the above element s ′ is acquired, these elements are grouped into one group. That is, the elements s in which at least part of the character strings overlap each other are set as one group.

The same processing is performed on each element of the set S, and the set S is divided into 1 or more and n (S) or less groups G. At this time, if there are a plurality of groups of the same element set in the generated group, they are combined into one, and the group G does not have a plurality of groups of the same element set. The element s may exist in a plurality of groups. For example, the set Sc generated in S110 has the following group G1 with 5 elements: {
[ID: User1, text: Descent at Ishikawacho Station, start point: (80, 20), end point: (85,20))],
[ID: User2, text: Get off at Ishikawacho Station, start point: (80, 20), end point: (88,20))],
[ID: User3, text: Get off at Ishikawacho Station, start point: (80, 20), end point: (87,20))],
[ID: User4, text: convenient to get off at Ishikawacho Station, start point: (80, 20), end point: (90, 20))],
[ID: User5, text: Get off at Kawamachi Station, start point: (81, 20), end point: (86,20))]
} And a group G2 with one element: {
[ID: User2, text: Sightseeing in Minato Mirai, start point: (10, 5), end point: (20,5))]
} And divided.

  The following processes from S130 to S190 are performed for each divided group.

  In S130, the start point / end point extraction unit 22 selects an unprocessed group G, determines whether or not there is a character string satisfying the condition M1 among the character strings of elements included in the group G, and exists. If not, the process proceeds to S140. If not, the process proceeds to S200. The condition M1 is assumed to be set in advance by the administrator or the like in the server and stored in a storage unit (not shown), for example.

  For example, when the condition M1 is “the number of elements in the group is 3 or more and there are character strings included in all the elements”, the character string “falling at Kawamachi Station” that satisfies the condition M1 in the group G1 Since there exists, it progresses to S140. In the group G2, there is no character string that satisfies the condition M1, so the process proceeds to S200.

In S140, the start point / end point extraction unit 22 acquires one character l ₁ immediately before the character string T (common character string) extracted in S130 and one character l ₂ immediately after. For example, when the character string T is “falling at Kawamachi station”, “l ₁ = stone” and “l ₂ = ri”.

In S150, the start point / end point extraction unit 22 determines whether or not a part of the morpheme including l ₁ is included in the character string T. If included, the process proceeds to S160, and if not included, the process proceeds to S170. Proceed to For example, the morpheme containing l _{1 is applied} to the character string before and after l ₁ using the morphological analysis engine Mecab (https://code.google.com/p/mecab/ (as of September 30, 2014)). Can be easily obtained by executing morphological analysis.

For example, if “string T = descending at Kawamachi station” and “l ₁ = stone”, the morpheme analysis engine is used for the string before and after l ₁ “take Keihin Tohoku Line at Ishikawacho station”. When the analysis is performed, “Ride Keihin-Tohoku Line at Ishikawacho Station” is broken down into 8 morphemes (“Keihin Tohoku” “Line” “Ni” “Ride” “Ishikawa” “Machi” “Station” “De”) . In this case, since a part “river” of the morpheme “Ishikawa” including “l ₁ = stone” is included in the character string T 1, the process proceeds to S160.

In S160, the start point the end point extraction unit 22, among the morphemes including l _1, to add a string that is not included in the string T to string T. For example, when “string T = descending at Kawamachi station” and “l ₁ = stone”, morpheme “Ishikawa” including “l ₁ = stone” is included in “string T = descending at Kawamachi station” The uncharacterized string “Stone” is added to the string T. That is, it is adjusted to “character string T = fall at Ishikawacho Station”.

In S170, the start point / end point extraction unit 22 determines whether or not a part of the morpheme including l ₂ is included in the character string T. If included, the process proceeds to S180, and if not included, the process proceeds to S190. Proceed to For example, when “string T = descending at Ishikawacho station” and “l ₂ = ri”, the morpheme analysis engine is used for the string before and after l ₂ “it is convenient to get off at Ishikawacho station”. When the analysis is executed, “It is convenient to get off at Ishikawacho Station” is broken down into eight morphemes (“Ishikawa”, “Town”, “Station”, “De”, “Get down”, “To”, “Convenient”, “Is”) . Since the character string T 1 includes a part “falling” of the morpheme “getting down” including “l ₂ = ri”, the process proceeds to S180.

In S180, the start point the end point extraction unit 22, among the morphemes including l _2, add string that is not included in the string T to string T. For example, when “string T = falling at Ishikawacho station” and “l ₂ = ri”, out of the morpheme “getting down” including “l ₂ = ri”, “string T = falling at Ishikawacho station” The character string “Riru” not included in is added to the character string T. That is, it is adjusted to “character string T = get off at Ishikawacho Station”.

  Thus, by adding and adjusting characters before and after the common character string T in units of morphemes, the marking candidate character strings stored in the marker DB 26 can be extracted from the content within an appropriate range.

  In S190, the start point / end point extraction unit 22 stores (outputs) the adjusted character string T (marking candidate character string) in the marker DB 26. For example, when “string T = get off at Ishikawacho station” after adjustment, the start point / end point extraction unit 22 records in the marker DB 26: [content ID: C1, marking candidate string: get off at Ishikawacho station, marker Start point: (80, 20), Marker end point: (87,20))]. The marker start point and marker end point are set according to the marking candidate character string.

  In the case of the group G2 described above, since there is no character string satisfying the condition M1 (S130: NO), the process proceeds to S200 without adding a record to the marker DB 26.

  In S200, the start point / end point extraction unit 22 returns to S130 if there is an unprocessed group, and proceeds to S210 if there is no unprocessed group.

  In S210, the start point / end point extraction unit 22 returns to S110 if there is unprocessed content, and ends the process if there is unprocessed content.

  By the processing of FIG. 8 described above, the start point / end point extraction unit 22 appropriately adjusts the common character string extracted using the operation history DB 24 for each content stored in the content DB 23 so as to be in morpheme units, Output to the marker DB 26.

  Note that the processing of the start point / end point extraction unit 22 is not limited to that shown in FIG. 6, and various modifications and applications are possible.

  FIG. 9 is a flowchart illustrating a modification of the process of the start point / end point extraction unit 22.

  The flowchart shown in FIG. 9 is obtained by adding the processes of S131 and S132 to the flowchart shown in FIG. That is, since S110-S130 and S140-S210 are the same as the flowchart shown in FIG. 8, description is abbreviate | omitted here.

  In step S131, the start point / end point extraction unit 22 determines whether the character string T (common character string) extracted in step S130 is a character string in the range intended by the user or a character string range to be truly specified. It is determined whether excess or deficiency has occurred.

  In this embodiment, using the history information of the operation history DB 24, it is determined whether or not the ratio of marking the character string T under a predetermined condition M2 is equal to or greater than a predetermined threshold V. That is, it is determined whether the user who has designated the character string T as a marking area is a user that satisfies the condition M2.

  Specifically, the start point / end point extraction unit 22 specifies the number of operations (or the number of users) Nall in which the character string T is designated as a marking area, and the number of operations (or the number of users) NM2 that satisfies the condition M2 among the number of operations Nall And calculate the ratio R (R = NM2 / Nall).

  The condition M2 is a condition for determining whether the range of the character string designated by the user is as intended or whether there is an excess or deficiency with respect to the range of the character string to be truly designated. For example, if the user determines the range of the character string after correcting the specified range of the character string, the user thinks that the user has a clear intention to specify the corrected range of the character string. It is done. In addition, if the user who usually specifies the character string range by modifying the character string specification range has decided the character string range without correcting the character string specification range, the user Is considered to have performed the specified range of the character string correctly.

  On the other hand, when the character string range specification is excessive or insufficient, it can be considered that the user may be impatient. For example, when the context related to the user changes greatly, such as when another operation is performed by the user immediately after the character string range is specified, it is considered that the character string range specification is likely to be excessive or insufficient. That is, it can be considered that the range of the character string designated when the above event does not occur and the user does not need to be impatient is as intended by the user.

  Furthermore, when the same user browses a certain content several times, the range of the character string specified multiple times is estimated to be highly important in the content, and such a character string range is determined by the user's intention. It is considered to be a street designation.

  Therefore, for example, the condition M2 may be “no terminal operation has occurred for t seconds after the text range is specified”. In this case, it is assumed that the operation history DB 24 stores data capable of determining the condition M2 such as the user ID and the operation time in addition to the data shown in FIG. Note that the condition M2 and the time t are set in advance in the server 2 by an administrator or the like and stored in a storage unit (not shown), for example.

  In S132, the start point / end point extraction unit 22 determines that it is not necessary to adjust (interpolate) the character string T (common character string) before and after the character string T (common character string) if the ratio R calculated in S131 is equal to or greater than the predetermined threshold value V. If it is less than the threshold value V, the process proceeds to S140 and the character string T is adjusted. The predetermined threshold value V is set in advance in the server 2 by an administrator or the like and stored in a storage unit (not shown), for example.

  Next, processing of the marker display unit 14 of the client 1 will be described.

  FIG. 10 is a flowchart showing a process flow of the marker display unit 14. In FIG. 10, a case where the user of the client 1 browses the content C of the electronic file FC received from the server 2 on a browser (web browser) and draws a marker with one finger will be described as an example.

  In S210, the marker display unit 14 detects a drag start event d (marking operation) for the content C 1 generated by the user u. As the drag start event d, for example, an ondragstart event may be acquired from a browser.

  In S220, the marker display unit 14 acquires the event occurrence position p (xu, yu) on the display where the event d occurred. The event occurrence position p may be, for example, the xy coordinates based on the upper left corner of the browser, and the xy coordinates may be obtained respectively for the clientX property and the clientY property of the event d object.

  In S230, the marker display unit 14 calculates the absolute coordinate p ′ (x, y) on the content C corresponding to the event occurrence position p 1, and displays the character (or a plurality of characters) displayed at the position of the coordinate p ′. Character string) and set the character as tp. If no character is displayed at the position of the coordinate p ′, the character displayed at the position closest to the coordinate p ′ is acquired, and the character is set as tp.

  The coordinate p ′ is, for example, when the content C is not enlarged or reduced and the upper left corner of the browser matches the upper left corner of the content C (that is, the content C is not scrolled). p and coordinate p ′ coincide. In other cases, for example, (1) browser scaling scale, (2) scroll amount scrollx in the x-axis direction, and (3) scroll amount scrolly in the y-axis direction are calculated or acquired as follows: The event occurrence position p, which is a relative coordinate on the browser, can be converted to an absolute coordinate p ′ on the content C.

(1) var scale = document.body.clientWidth / window.innerWidth;
(2) var scrollx = document.documentElement.scrollLeft || document.body.scrollLeft;
(3) var scrolly = document.documentElement.scrollTop || document.body.scrollTop;
In S240, the marker display unit 14 determines whether or not the marking candidate character string Mp including the character tp is included in the highlight DB 13, and if included, the process proceeds to S250, and if not included, The processing ends without performing the marking operation support processing in S260. Whether or not the marking candidate character string Mp including the character tp is included in the highlight DB 13 is determined based on the absolute coordinates p ′ (x, y) of the character tp and the marker start point and marker end point of each record in the highlight DB 13. Judge by comparing.

  In S250, the marker display unit 14 acquires a record of the marking candidate character string Mp including the character tp from the highlight DB 13.

  In S <b> 260, the marker display unit 14 executes a process for supporting a marking operation in which the user u draws a marker on a desired character string of the content C. In addition, the marker display unit 14 transmits marking operation information to the operation history update unit 25 of the server 2.

  There are the following two methods for supporting the marking operation in S260.

<First method>
In the first method, the marker display unit 14 highlights the entire marking candidate character string Mp including the character tp on the content C (the marker is drawn).

  That is, in the first method, the user's marking operation on the content is detected, and a character string (marking candidate character string Mp) in a predetermined region including the position on the content where the marking operation is performed is highlighted.

  As described above, in the first method, when the user highlights a part of the character string in the content, the marking candidate characters stored in the highlight DB 13 are proactively triggered by the start of the marking operation by the user. Highlight a column.

<Second method>
The second method supports the user's marking operation by giving the user a feeling that cannot be easily operated (feeling difficult to operate) when the user performs a marking operation on a part other than the marking candidate character string. is there.

  In the second method, the marker display unit 14 follows the user's marking operation for the marking operation on the marking candidate character string Mp, and the character string (marked) by the user on the content ( That is, the marking candidate character string Mp) is highlighted. For marking operations other than the marking candidate character string Mp (that is, other characters different from the marking candidate character string Mp), the highlighting display is delayed with respect to the user's marking operation.

  Specifically, when the marker display unit 14 detects an operation of continuously drawing a marker for the character me + 1 immediately after the character me at the end point position of the marking candidate character string Mp, that is, the marking candidate character string Mp is displayed. When an operation is performed to draw a marker for the immediately following character me + 1, the timing for highlighting the immediately following character ms + 1 (and the subsequent characters) is determined from the timing of the user's marking operation. After a predetermined time, the character me + 1 is highlighted.

  Similarly, when the marking operation is performed on the marking candidate character string Mp in the reverse direction from the back to the front, the marker display unit 41 displays the character ms− immediately before the character ms at the start position of the marking candidate character string Mp. If an operation to continue to draw a marker for 1 is detected, that is, if an operation to draw a marker is performed for the immediately preceding character ms-1 beyond the marking candidate character string Mp, the immediately preceding character ms-1 The character ms-1 is highlighted and delayed by a predetermined time delay from the timing of the user's marking operation.

  In this way, in the second method, when highlighting a character in an area other than the marking candidate character string Mp (another character different from the marking candidate character string Mp), it is slightly delayed from the actual user operation. By highlighting, the user can feel that it is difficult to perform the marking operation, and the user can confirm whether or not characters other than the marking candidate character string Mp are actually highlighted, thereby preventing the marker from being pulled excessively. To do.

  In the second method, the highlight display for the character strings other than the marking candidate character string Mp is displayed at a slower speed than the marking operation speed of the user, so that it is difficult for the user to perform the marking operation. It is good to make you realize.

  Note that, in the first method and the second method, the marker display unit 14 sets the range in which the marker is to be drawn in the same manner as the service or application that provides the function of highlighting the texts of Non-Patent Documents 1 and 2 described above. An adjustment function such as re-designation is provided to the user.

  In addition, in the first method and the second method, the starting point for executing the process is that the user u taps the range of the character string to which the marker is to be drawn, An operation such as enclosing a circle so as to include all or part of the range of the column is conceivable.

  According to the present embodiment described above, when highlighting a desired character string on the content displayed on the client 1, the user can easily specify the range of the character string to be highlighted. It is possible to shorten the user operation time required to specify the column range. In addition, it is possible to reduce the number of redo operations for correctly specifying the character string and reduce the number of pinch-out operations necessary for specifying the character string range.

  That is, according to the present embodiment, when highlighting a partial character string of content, the user's marking operation can be supported, and the user's convenience can be improved.

  Specifically, according to the start point / end point extraction unit 22 of the present embodiment, using the operation history DB 24 in which operation histories of a plurality of users are stored, marking candidate character strings that are highly likely to be marked are appropriately selected. Can be estimated and extracted.

  Further, the start point / end point extraction unit 22 performs the processing of S131 and S132 shown in FIG. 9 to estimate a text range having a clear intention of the user and having a high possibility of correctly specifying the range from the content. Can do.

  In addition, the marker display unit 14 uses the keying candidate character string to assist the user's marking operation, thereby reducing the number of redoes for specifying the range of the character string and the number of pinch-out operations necessary for specifying the range. Can be reduced.

  Further, in the first method of the marker display unit 14, before performing an operation of drawing a marker in all the ranges of a character string range (marking candidate character string) that is likely to be drawn by the user, Highlight. Thereby, when the range which draws a marker is wide, while shortening the operation time which draws a marker, it can designate a range appropriately.

  Further, in the second method of the marker display unit 14, the character strings other than the marking candidate character strings are highlighted after the user's marking operation to give the user a feeling that it is difficult to operate, and the marker pulling is performed. It is possible to prevent overshoot.

  In addition, this invention is not limited to the said embodiment, Many deformation | transformation and application are possible within the range of the summary.

1: Client 11: Content request transmission unit 12: Content reception unit 13: Highlight DB
14: Marker display unit 2: Server 21: Content acquisition unit 22: Start point / end point extraction unit 23: Content DB
24: Operation history DB
25: Operation history update unit 26: Marker DB

Claims (8)

A marking support method performed by a marking support server ,
An extraction step of extracting a common character string marked in common using marking operation histories to a plurality of users' contents,
In the content, when a part of the morpheme including the character immediately before the common character string is included in the common character string, the morpheme including the immediately preceding character is added to the common character string, and the content In the case where a part of the morpheme including the character immediately after the common character string is included in the common character string, an additional step of adding the morpheme including the character immediately after the common character string;
The common character string after said additional step, have rows and outputting step, the output as marking candidate character string,
The morpheme including the immediately preceding character is obtained by performing morpheme analysis on the character string before and after the character immediately preceding the common character string using a morpheme analysis engine, and the morpheme including the immediately following character is A marking support method, which is obtained by performing morphological analysis on a character string before and after a character immediately after the common character string using the morphological analysis engine . A marking support method according to claim 1,
In the common character string extracted in the extraction step, using the marking operation history, further performing a determination step of determining whether the ratio of marking the common character string under a predetermined operation condition is equal to or higher than a predetermined threshold value,
If the ratio is greater than or equal to the predetermined threshold, the additional step is not performed,
The marking support method, wherein the output step outputs the common character string extracted in the extraction step as a marking candidate character string. The marking support method according to claim 1 or 2,
An acquisition step of detecting a marking operation of the user to the content and acquiring the character of the content corresponding to a start position of the marking operation;
And a display step of highlighting the marking candidate character string on the content when the character acquired in the acquiring step is included in the marking candidate character string. . The marking support method according to claim 1 or 2,
An acquisition step of detecting a marking operation of the user to the content and acquiring the character of the content corresponding to a start position of the marking operation;
When the character acquired in the acquisition step is included in the marking candidate character string, a first display step of highlighting the marking candidate character string on the content following the marking operation;
When a marking operation on another character different from the marking candidate character string is detected, a second display step of highlighting the other character after the marking operation is further performed. Characteristic marking support method. A marking support method performed by a computer,
Receiving a marking candidate character string in the content from the server;
An acquisition step of detecting a marking operation of the user to the content and acquiring the character of the content corresponding to a start position of the marking operation;
When the character acquired in the acquisition step is included in the marking candidate character string, a display step of highlighting the marking candidate character string on the content is performed. A marking support method performed by a computer,
Receiving a marking candidate character string in the content from the server;
An acquisition step of detecting a marking operation of the user to the content and acquiring the character of the content corresponding to a start position of the marking operation;
When the character acquired in the acquisition step is included in the marking candidate character string, a first display step of highlighting the marking candidate character string on the content following the marking operation;
When a marking operation to another character different from the marking candidate character string is detected, a second display step is performed for highlighting the other character with a delay after the marking operation. Marking support method. A marking support server,
An extraction unit that extracts a common character string marked in common using marking operation histories for a plurality of users' contents,
In the content, when a part of the morpheme including the character immediately before the common character string is included in the common character string, the morpheme including the immediately preceding character is added to the common character string, and the content A part of the morpheme including the character immediately after the common character string is included in the common character string, the adjustment unit to add the morpheme including the character immediately after the common character string,
An output unit that outputs the common character string after the addition by the adjustment unit as a marking candidate character string,
The morpheme including the immediately preceding character is obtained by performing morpheme analysis on the character string before and after the character immediately preceding the common character string using a morpheme analysis engine, and the morpheme including the immediately following character is Obtained by performing morphological analysis on the character string before and after the character immediately after the common character string using the morphological analysis engine
A marking support server characterized by A computer,
A receiving unit for receiving a marking candidate character string in the content from the server;
An acquisition unit that detects a user's marking operation on the content and acquires characters of the content corresponding to a start position of the marking operation;
A display unit that highlights the marking candidate character string on the content when the acquired character is included in the marking candidate character string.
A computer characterized by

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