CN111831938A - Information display method, information display device, electronic equipment and medium - Google Patents
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Abstract
The application discloses an information display method, an information display device, electronic equipment and a medium, and belongs to the technical field of communication. The method comprises the following steps: acquiring target information; searching for target content associated with the target information; performing word segmentation on the target content to obtain a word segmentation result; and displaying the word segmentation result. By performing word segmentation display on the searched target content, the user can quickly find the desired keyword, so that the problem of low information searching efficiency in the searching process is solved.
Description
Technical Field
The application belongs to the technical field of communication, and particularly relates to an information display method, an information display device, electronic equipment and a medium.
Background
With the development of electronic equipment and networks, a user can search a large amount of information through a browser, a plurality of search results can be obtained by inputting search content in the browser, the search results are displayed in a link form, the links comprise link topics, and the user can jump to a detailed content interface corresponding to the link topics after clicking the links.
However, when the user searches for information using the browser, the number of links included in the searched result is extremely large, and the user cannot quickly find the information desired by the user, which results in low efficiency of information search.
Disclosure of Invention
An object of the embodiments of the present application is to provide an information display method, an information display apparatus, an electronic device, and a medium, which can solve the problem of low efficiency of information search in a search process.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, an embodiment of the present application provides an information display method, including:
acquiring target information;
searching for target content associated with the target information;
performing word segmentation on the target content to obtain a word segmentation result;
and displaying the word segmentation result.
In a second aspect, an embodiment of the present application provides an apparatus for displaying information, where the apparatus includes:
the first acquisition module is used for acquiring target information;
a search module for searching for target content associated with the target information;
the word segmentation module is used for segmenting the target content to obtain a word segmentation result;
and the first display module is used for displaying the word segmentation result.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.
In the embodiment of the application, after the target content associated with the searched target information is searched, the target content is segmented, and the segmentation result is displayed, so that a user can quickly find the segmented word which the user wants to look up by taking the segmentation result as a keyword.
Drawings
Fig. 1 is a schematic flowchart of an information display method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another information display method provided in the embodiment of the present application;
FIG. 3 is a schematic diagram of a search results interface provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of an information display device according to an embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
As described in the background, currently, the search range is limited or the search is customized in the search, which is useful for the directional search, and in most cases, the search requirement of the user is a general search for a completely new knowledge domain, and useful information needs to be searched and screened in the search. However, because the links searched by the browser are too many, the user can find the information desired by the user, and the user can distinguish the information by sequentially clicking and checking the information, so that the information is difficult to obtain, and the information browsing efficiency is influenced.
In order to solve the above problem, an embodiment of the present application provides an information display method. The information display method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof. Fig. 1 is a schematic flowchart of an information display method according to an embodiment of the present application. The method comprises the following steps:
and S110, acquiring target information.
The target information refers to information to be searched, and the manner of acquiring the target information may be: receiving target information input by a user; or searching target information according to the history of the user, and the like. This is not a limitation of the present application.
And S120, searching target content associated with the target information.
After the target information is acquired, the browser retrieves links related to the target information according to the target information, and the links form target content; at least one link is included in the target content. For example, if the target information is an airship, the target content is a link associated with the airship. Wherein the association may include at least one of: the content includes the target information, or a degree of correlation between the content and the target information is greater than a preset degree of correlation.
S130, performing word segmentation on the target content to obtain a word segmentation result.
Since the target content includes a plurality of links, each link is usually a complete sentence, such as a thesis title, and so on, and in order to facilitate a subsequent user to obtain key information in the link, the present embodiment first performs word segmentation on the target content and splits each link into separate words. Alternatively, the word segmentation result may only include keywords in the target content, such as only nouns and verbs in the link topic, and some conjunctions are filtered out.
Specifically, the word segmentation of the target content herein may include: and acquiring the sentence segments of the target content by a Python crawler technology, and performing word segmentation on each sentence segment by using a word segmentation technology to obtain a single word or phrase. Of course, the above is only a specific implementation manner, and word segmentation can be performed in other manners.
And S140, displaying the word segmentation result.
In the embodiment of the application, after the target content associated with the searched target information is searched, the target content is segmented, and the segmentation result is displayed, so that a user can quickly find the segmented word which the user wants to look up by taking the segmentation result as a keyword.
Since there may be some duplicate links in the target content, for example, some links with different publishers but the same content, in some embodiments of the present application, after S120 and before S130, the following may be further included:
and S121, performing repeated content filtering processing on the target content.
In the embodiment, repeated content filtering processing is performed on the target content, so that repeated content can be filtered, and the filtered target content is ensured to contain different contents. In this way, on one hand, the calculation amount in the subsequent classification process can be reduced, and the classification efficiency is improved; on the other hand, repeated contents are not contained in the search contents checked by the subsequent users, so that the users can conveniently and quickly find the required information, and the information browsing efficiency and the user experience are improved.
In other embodiments, the S121 may specifically include:
s1211, receiving a first input. The first input here refers to the input of the user to the filter control, that is, the user selects the operation of content filtering.
S1213, in response to the first input, hiding the second content if the content similarity of the second content to the first content is greater than a preset similarity; wherein the target content comprises the first content and the second content. The preset similarity may be 60% or may be set to another value.
In the embodiment, one part of the two parts of contents with the content similarity greater than the preset similarity is hidden, so that the user cannot see the two parts of contents very similar to each other when the user finally checks the target contents, the number of the contents required to be checked by the user is reduced, and the efficiency of the user is improved.
Optionally, the above-mentioned repeated content filtering process refers to a repeated link filtering process, that is, both the first content and the second content refer to links. Since the target content usually contains only a plurality of links, in this case, link filtering and hiding can be directly performed.
In a specific embodiment, S1213 may include:
responding to the first input, comparing the text contents in each link in the target content in pairs in sequence, and determining the text similarity of the two compared target links; the text content may include a link title and a part of content included in the target content and corresponding to the link.
And hiding the target link meeting the preset condition under the condition that the text similarity is greater than the preset similarity.
Since the text content of the link can represent the display content corresponding to the link, the similarity between the links to be compared can be determined by comparing the text content corresponding to the link, and when the similarity is greater than the preset similarity, the two links to be compared are considered to be basically the same, or the main content is the same, so that in order to improve the convenience of the user in searching for information, in this case, only one of the links is reserved in the embodiment.
Optionally, multiple rounds of comparison may be performed in the above embodiment, for example, each link is first divided into multiple groups, each group includes two links, the links included in each group are different, the two links in each group are subsequently compared, if the text similarity is low, both the two links are retained, and if the text similarity is greater than the preset similarity, one of the links is hidden; after all the links are compared, the operations are repeated on the links which are not hidden until all the links in the comparison in the current round are not hidden, the filtering processing is finished, or the comparison, the link hiding and the like can be carried out only once.
In addition, the second content needing to be hidden may also be determined in other ways. For example, the grouping is not performed, each two links are compared pairwise, then the text similarity greater than the preset similarity is sequenced from high to low to obtain a sequence, and then one of the two links to be compared is hidden in sequence from front to back according to the sequence of the sequence.
Optionally, the first content and the second content may satisfy, but are not limited to, any of the following:
first, when the first content and the second content are both linked, the evaluation index of the distribution medium of the first content is higher than that of the distribution medium of the second content. The evaluation index may include a metric of confidence or authority.
Because the information published by the web page link or the information publishing media with higher credibility or authority has higher reliability and accuracy, the target link is reserved, so that the user can see more accurate information, and the information browsing effect is achieved.
And secondly, the number of characters of the first content is larger than that of the second content. Intuitively, the number of characters is more, which indicates that the contained content is more, so that under the condition of higher similarity degree, links with more characters are selected for reservation, and a user can acquire more information.
And thirdly, the number of pictures contained in the first content is larger than that of the pictures contained in the second content. Because most of the text contents corresponding to the links all contain embedded pictures, the embedded pictures can explain the text contents more intuitively, and therefore under the condition that the contents are similar, more links of the embedded pictures are selected and reserved, the reading feeling of a user can be improved, and the user can conveniently understand the information.
Of course, the above are only some specific examples, and other limiting conditions may be satisfied between the first content and the second content, which is not limited in this application.
In other embodiments of the present application, referring to fig. 2, fig. 2 is a schematic flowchart of another information display method provided in the embodiments of the present application. The method can comprise the following steps:
and S210, acquiring target information.
S220, searching for target content associated with the target information.
And S230, performing word segmentation on the target content to obtain a word segmentation result. S210 to S230 are similar to S110 to S130 in fig. 1, and are not described herein again.
And S240, classifying the word segmentation result to obtain various word segmentation words.
Wherein, the classification can be performed according to the preset classification condition. The preset classification condition may include: dividing the words into a class according to keywords, for example, dividing the word segmentation results comprising the same keywords into a class, for example, dividing the word segmentation results comprising the airship into a class; the segmentation results with the similarity reaching the preset similarity are classified into a category according to the similarity, for example, the segmentation results containing the vocabularies such as 'spaceship', 'mannequin' and 'shenzhou' are classified into a category. In addition, the preset classification condition may also include other conditions, which are not limited in the present application. The classification herein may include; the word segmentation results are classified through the SQL aggregation function, and the classification results can be sequentially displayed. Other classification or clustering algorithms may alternatively be employed, and are not limited in this application.
And S250, acquiring the corresponding key words of each type of word segmentation words.
Because each type of word segmentation vocabulary comprises a plurality of vocabularies, the word segmentation vocabularies belonging to the same type can be summarized to facilitate the understanding and subsequent searching of users, and the keywords capable of representing the characteristics of the word segmentation vocabularies can be obtained. For example, the keyword may be any of the following: the vocabulary with the highest frequency of occurrence in each classification, or the category names summarized according to the characteristics of each classification, etc.
The operation of obtaining the feature information may be to screen out a word with the highest occurrence frequency from each type of word segmentation words as a keyword, or to summarize each type of word segmentation words through semantic analysis, SQL aggregation function, and the like, to obtain a corresponding keyword, or may be implemented through other manners, which is not limited in this application.
And S260, taking the keywords as the characteristic information corresponding to the word-segmentation words.
And S270, displaying the characteristic information corresponding to each word segmentation vocabulary.
When displaying the feature information, the feature information may be displayed in an order from high to low according to the frequency of occurrence of a class of word segmentation vocabulary corresponding to the feature information. For example, if the feature information is a category name, the category names may be sorted and displayed according to the frequency of appearance of the word segmentation vocabulary included in each category.
In the embodiment, the characteristic information corresponding to various word segmentation words is displayed, so that the user can quickly know the current search result and can conveniently and quickly search. By acquiring the keywords for display, the user can quickly determine the link classification contained in the search result without browsing specific links, and the information browsing efficiency of the user is further improved.
In some further embodiments of the present application, after S270, the method may further include:
and receiving second input of the first target characteristic information from the user. The second input here may be a click input or the like.
Responding to the second input, and displaying a first target link corresponding to the first target characteristic information; the first target link is a link in the target content and contains a class word segmentation corresponding to the first target characteristic information.
In this embodiment, only the feature information corresponding to each type of word segmentation vocabulary may be displayed in the search result interface, and then after the user selects one target feature information, each target link corresponding to the first target feature information is expanded and displayed. The method simplifies the content in the search result interface, avoids discomfort caused by the fact that the user sees a large number of links, and can quickly determine which kind of information the user wants to find through the characteristic information, and then the user can check the information in a targeted manner.
In addition, referring to fig. 3, fig. 3 is a schematic diagram of a search result interface provided in an embodiment of the present application. Optionally, when the feature information is displayed, the number of links included in a class of word segmentation vocabulary corresponding to each feature information may also be displayed. For example, if the feature information is "leisure," and the number of links related to "leisure" is 2016, then "2016" may be displayed when displaying the feature information, or "2016-derived link information" may be displayed, for example, to prompt the user about the number of links corresponding to each feature information, which is used as a reference for searching subsequent information.
In further embodiments of the present application, after S260, the method may further include:
and generating a target word cloud picture according to the characteristic information.
And displaying the target word cloud picture. For example, the target word cloud may be displayed at a center or a location to one side (e.g., the left side) of the search results interface.
The cloud word graph is a schematic diagram capable of rapidly displaying the characteristic information, the characteristic information is displayed through the cloud word graph, a user can rapidly master the information type contained in the target content, and compared with a monotonous mode for displaying the characteristic information, the cloud word graph has interesting and rich information display effects.
In some other embodiments of the present application, the target word cloud graph uses the occurrence frequency of the first word corresponding to the feature information as an independent variable of the hash function, and uses the size of the word size and the distance from the feature information to the word cloud center position as a dependent variable of the hash function, and determines the size of the word size of the feature information and the distance from the feature information to the word cloud center position by using the hash function relationship. The first vocabulary refers to the vocabulary with the highest frequency of occurrence in the class of word segmentation vocabulary corresponding to the characteristic information.
The generating the target word cloud picture according to the feature information may include:
and generating a target word cloud picture comprising each characteristic information according to the size of the word size of the characteristic information and the distance between the characteristic information and the center position of the word cloud.
In this embodiment, the word size of the feature information in the target word cloud image and the distance from the center of the word cloud are determined according to the occurrence frequency of the first vocabulary corresponding to the feature information. That is, the more the occurrence frequency of the first vocabulary is, the larger the word size of the feature information corresponding to the first vocabulary in the target word cloud image is, the closer the feature information is to the center of the word cloud, so that the number of links corresponding to each feature information can be displayed more intuitively, and the searching by a user is facilitated. Referring to FIG. 3, a word cloud diagram of search results related to Tianjin feature is shown in FIG. 3.
Optionally, when the target word cloud is generated specifically, the feature information may be introduced into a word cloud template tool, such as TAGUL, and the word cloud template in TAGUL may be generated randomly, so that a variety of selectable word cloud patterns may be provided. Optionally, when the feature information is introduced into the cloud image template tool, the feature information may be sorted according to the order of the number of included links from large to small, or the occurrence frequency of the key words from high to low, and the sorted list is introduced into the cloud image template tool.
In addition, optionally, whether to show the word cloud picture can also be selected by the user. The word cloud display control can be displayed in a search result interface of the browser, and the target word cloud picture is generated according to the characteristic information under the condition that the trigger input of the user to the word cloud display control is received. In the case of a selection trigger "word cloud display control," the user may cause the target word cloud to be presented into the search results interface by refreshing the search results interface.
Based on this, in some embodiments of the present application, after the displaying the target word cloud, the method may further include:
and receiving a third input of second target characteristic information of the user in the target word cloud picture.
And responding to the third input, and displaying a second target link corresponding to the second target characteristic information.
In this embodiment, a click event is added to each feature information in the target word cloud picture, that is, a user can jump to a corresponding link display interface by clicking the feature information in the target word cloud picture. The method further facilitates the information searching process of the user and improves the convenience of the user.
The word cloud picture and the feature information can be displayed simultaneously, and at the moment, a user can jump to a display interface of a first target link through second input of the feature information, or can jump to a display interface of a second target link through third input of the feature information in the word cloud picture.
Specifically, the corresponding relationship between each position coordinate in the target word cloud picture and the feature information may be preset, and then after a third input at the target coordinate is received, second target feature information corresponding to the target coordinate is determined according to the corresponding relationship, and then a link corresponding to the second target feature information is displayed.
Optionally, the target word cloud graph may also be a 3D dynamic word cloud graph. The specific display form of the target word cloud picture is not limited in the application.
It should be noted that, in the information display method provided in the embodiment of the present application, the execution main body may be an information display apparatus, or a control module in the information display apparatus for executing the loaded information display method. In the embodiment of the present application, an information display device executes a loaded information display method as an example, and the information display method provided in the embodiment of the present application is described.
Based on the above method embodiment, in view of the same inventive concept, the present application further provides an information display apparatus, as shown in fig. 4, and fig. 4 is a schematic structural diagram of the information display apparatus provided in the embodiment of the present application. The device includes:
a first obtaining module 310, configured to obtain target information;
a search module 320 for searching for target content associated with the target information;
the word segmentation module 330 is configured to perform word segmentation on the target content to obtain a word segmentation result;
the first display module 340 is configured to display the word segmentation result.
In the embodiment of the application, after the target content associated with the searched target information is searched, the target content is segmented, and the segmentation result is displayed, so that a user can quickly find the segmented word which the user wants to look up by taking the segmentation result as a keyword.
In some embodiments, the apparatus further comprises:
the first receiving module is used for receiving a first input;
the hiding module is used for responding to the first input and hiding the second content under the condition that the content similarity of the second content and the first content is larger than the preset similarity; wherein the target content comprises the first content and the second content.
In the embodiment, one part of the two parts of contents with the content similarity greater than the preset similarity is hidden, so that the user cannot see the two parts of contents very similar to each other when the user finally checks the target contents, the number of the contents required to be checked by the user is reduced, and the efficiency of the user is improved.
In a specific embodiment, the hiding module may include:
the comparison unit is used for responding to the first input, comparing every two text contents in each link in the target content in sequence and determining the text similarity of the two compared target links; the text content may include a link title and a part of content included in the target content and corresponding to the link.
And the hiding unit is used for hiding the target link meeting the preset condition under the condition that the text similarity is greater than the preset similarity.
Since the text content of the link can represent the display content corresponding to the link, the similarity between the links to be compared can be determined by comparing the text content corresponding to the link, and when the similarity is greater than the preset similarity, the two links to be compared are considered to be basically the same, or the main content is the same, so that in order to improve the convenience of the user in searching for information, in this case, only one of the links is reserved in the embodiment.
In other embodiments of the present application, an apparatus further comprises:
the classification module is used for classifying the word segmentation results to obtain various word segmentation vocabularies;
the second acquisition module is used for acquiring the keywords corresponding to each type of word segmentation vocabulary; taking the key words as characteristic information corresponding to the word-dividing vocabularies;
the first display module 340 is specifically configured to: and displaying the characteristic information corresponding to each word segmentation vocabulary.
In the embodiment, the characteristic information corresponding to various word segmentation words is displayed, so that the user can quickly know the current search result and can conveniently and quickly search. By acquiring the keywords for display, the user can quickly determine the link classification contained in the search result without browsing specific links, and the information browsing efficiency of the user is further improved.
In still other embodiments of the present application, the apparatus further comprises:
the second receiving module is used for receiving second input of the first target characteristic information by the user;
the second display module is used for responding to the second input and displaying a first target link corresponding to the first target characteristic information; the first target link is a link in the target content and contains a class word segmentation corresponding to the first target characteristic information.
In this embodiment, only the feature information corresponding to each type of word segmentation vocabulary may be displayed in the search result interface, and then after the user selects one target feature information, each target link corresponding to the first target feature information is expanded and displayed. The method simplifies the content in the search result interface, avoids discomfort caused by the fact that the user sees a large number of links, and can quickly determine which kind of information the user wants to find through the characteristic information, and then the user can check the information in a targeted manner.
In some embodiments, the apparatus may further include:
the word cloud generating module is used for generating a target word cloud picture according to the characteristic information;
and the third display module is used for displaying the target word cloud picture.
The cloud word graph is a schematic diagram capable of rapidly displaying the characteristic information, the characteristic information is displayed through the cloud word graph, a user can rapidly master the information type contained in the target content, and compared with a monotonous mode for displaying the characteristic information, the cloud word graph has interesting and rich information display effects.
In some other embodiments of the present application, the target word cloud graph uses the occurrence frequency of the first word corresponding to the feature information as an independent variable of the hash function, and uses the size of the word size and the distance from the feature information to the word cloud center position as a dependent variable of the hash function, and determines the size of the word size of the feature information and the distance from the feature information to the word cloud center position by using the hash function relationship. The first vocabulary refers to the vocabulary with the highest frequency of occurrence in the class of word segmentation vocabulary corresponding to the characteristic information. (ii) a
The word cloud generation module is specifically configured to: and generating a target word cloud picture comprising each characteristic information according to the size of the word size of the characteristic information and the distance between the characteristic information and the center position of the word cloud.
In this embodiment, the word size of the feature information in the target word cloud image and the distance from the center of the word cloud are determined according to the occurrence frequency of the first vocabulary corresponding to the feature information. That is, the more the occurrence frequency of the first vocabulary is, the larger the word size of the feature information corresponding to the first vocabulary in the target word cloud image is, the closer the feature information is to the center of the word cloud, so that the number of links corresponding to each feature information can be displayed more intuitively, and the searching by a user is facilitated. Referring to FIG. 3, a word cloud diagram of search results related to Tianjin feature is shown in FIG. 3.
Optionally, the word cloud generating module may be specifically configured to: the characteristic information is imported into a word cloud picture template tool, such as TAGUL and the like, and the word cloud picture template in the TAGUL can be randomly generated, so that a plurality of selectable word cloud picture styles can be provided. Optionally, when the feature information is introduced into the cloud image template tool, the feature information may be sorted according to the order of the number of included links from large to small, or the occurrence frequency of the key words from high to low, and the sorted list is introduced into the cloud image template tool.
In addition, optionally, whether to show the word cloud picture can also be selected by the user. That is, the apparatus may further include:
the control module is used for displaying a word cloud display control in a search result interface of the browser and triggering the word cloud generation module under the condition that trigger input of a user to the word cloud display control is received. In the case of a selection trigger "word cloud display control," the user may cause the target word cloud to be presented into the search results interface by refreshing the search results interface.
Optionally, the apparatus further comprises:
and the third receiving module is used for receiving a third input of second target characteristic information of the user in the target word cloud picture.
And the fourth display module is used for responding to the third input and displaying a second target link corresponding to the second target characteristic information.
In this embodiment, a click event is added to each feature information in the target word cloud picture, that is, a user can jump to a corresponding link display interface by clicking the feature information in the target word cloud picture. The method further facilitates the information searching process of the user and improves the convenience of the user.
The information display device in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a kiosk, and the like, and the embodiments of the present application are not particularly limited.
The information display device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.
The information display device provided in the embodiment of the present application can implement each process implemented in the method embodiments of fig. 1 to fig. 2, and is not described here again to avoid repetition.
Optionally, an embodiment of the present application further provides an electronic device, which includes a processor, a memory, and a program or an instruction stored in the memory and capable of being executed on the processor, where the program or the instruction is executed by the processor to implement each process of the above-mentioned information display method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and the non-mobile electronic devices described above.
Fig. 5 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
The electronic device 400 includes, but is not limited to: radio unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, and processor 410.
Those skilled in the art will appreciate that the electronic device 400 may further include a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 410 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 5 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.
The processor 410 is configured to obtain target information; searching for target content associated with the target information; performing word segmentation on the target content to obtain a word segmentation result;
and a display unit 406, configured to display the word segmentation result.
In the embodiment of the application, after the target content associated with the searched target information is searched, the target content is segmented, and the segmentation result is displayed, so that a user can quickly find the segmented word which the user wants to look up by taking the segmentation result as a keyword.
Optionally, the processor 410 is further configured to: receiving a first input; in response to the first input, hiding the second content under the condition that the content similarity of the second content and the first content is greater than a preset similarity; wherein the target content comprises the first content and the second content.
In the embodiment, one part of the two parts of contents with the content similarity greater than the preset similarity is hidden, so that the user cannot see the two parts of contents very similar to each other when the user finally checks the target contents, the number of the contents required to be checked by the user is reduced, and the efficiency of the user is improved.
Optionally, the processor 410 may be further configured to: classifying the word segmentation result to obtain various word segmentation vocabularies; acquiring a keyword corresponding to each type of word segmentation vocabulary; taking the key words as characteristic information corresponding to the word-dividing vocabularies;
the display unit 406 is specifically configured to display feature information corresponding to each type of word segmentation vocabulary.
In the embodiment, the characteristic information corresponding to various word segmentation words is displayed, so that the user can quickly know the current search result and can conveniently and quickly search. By acquiring the keywords for display, the user can quickly determine the link classification contained in the search result without browsing specific links, and the information browsing efficiency of the user is further improved.
Optionally, the processor 410 is further configured to: receiving a second input of the first target characteristic information by the user;
a display unit 406, specifically configured to display, in response to the second input, a first target link corresponding to the first target feature information; the first target link is a link in the target content and contains a class word segmentation corresponding to the first target characteristic information.
In this embodiment, only the feature information corresponding to each type of word segmentation vocabulary may be displayed in the search result interface, and then after the user selects one target feature information, each target link corresponding to the first target feature information is expanded and displayed. The method simplifies the content in the search result interface, avoids discomfort caused by the fact that the user sees a large number of links, and can quickly determine which kind of information the user wants to find through the characteristic information, and then the user can check the information in a targeted manner.
Optionally, the user input unit 407 is further configured to: generating a target word cloud picture according to the characteristic information;
the display unit 406 is further configured to: and displaying the target word cloud picture.
The cloud word graph is a schematic diagram capable of rapidly displaying the characteristic information, the characteristic information is displayed through the cloud word graph, a user can rapidly master the information type contained in the target content, and compared with a monotonous mode for displaying the characteristic information, the cloud word graph has interesting and rich information display effects.
Optionally, the processor 410 is specifically configured to: and generating a target word cloud picture comprising each characteristic information according to the size of the word size of the characteristic information and the distance between the characteristic information and the center position of the word cloud. The target word cloud picture takes the occurrence frequency of a first word corresponding to the characteristic information as an independent variable of a hash function, the word size and the distance between the characteristic information and the word cloud center position as dependent variables of the hash function, and the word size of the characteristic information and the distance between the characteristic information and the word cloud center position are determined by utilizing the hash function relationship.
In this embodiment, the word size of the feature information in the target word cloud image and the distance from the center of the word cloud are determined according to the occurrence frequency of the first vocabulary corresponding to the feature information. That is, the more the occurrence frequency of the first vocabulary is, the larger the word size of the feature information corresponding to the first vocabulary in the target word cloud image is, the closer the feature information is to the center of the word cloud, so that the number of links corresponding to each feature information can be displayed more intuitively, and the searching by a user is facilitated.
Optionally, the user input unit 407 is further configured to: receiving a third input of second target characteristic information of the user in the target word cloud picture
The display unit 406 is further configured to: and responding to the third input, and displaying a second target link corresponding to the second target characteristic information.
In this embodiment, a click event is added to each feature information in the target word cloud picture, that is, a user can jump to a corresponding link display interface by clicking the feature information in the target word cloud picture. The method further facilitates the information searching process of the user and improves the convenience of the user.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the above-mentioned information display method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device in the above embodiment. Readable storage media, including computer-readable storage media, such as Read-Only Memory (ROM), random-access Memory (RAM), magnetic or optical disks, etc.
The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the above information display method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (11)
1. An information display method, comprising:
acquiring target information;
searching for target content associated with the target information;
performing word segmentation on the target content to obtain a word segmentation result;
and displaying the word segmentation result.
2. The method of claim 1, wherein after the searching for the target content associated with the target information, and before the tokenizing the target content, further comprising:
receiving a first input;
in response to the first input, hiding the second content if the content similarity of the second content and the first content is greater than a preset similarity;
wherein the target content comprises the first content and the second content.
3. The method of claim 2, wherein any one of the following is satisfied between the first content and the second content:
the number of characters of the first content is greater than the number of characters of the second content;
the number of pictures contained in the first content is greater than that of the pictures contained in the second content;
and when the first content and the second content are both linked, the evaluation index of the published media of the first content is higher than that of the second content.
4. The method according to any one of claims 1-3, wherein after obtaining the segmentation result and before displaying the segmentation result, further comprising:
classifying the word segmentation result to obtain various word segmentation vocabularies;
acquiring a keyword corresponding to each type of word segmentation vocabulary;
taking the keywords as characteristic information corresponding to the word segmentation words;
the displaying the word segmentation result comprises:
and displaying the characteristic information corresponding to each type of word segmentation vocabulary.
5. The method according to claim 4, wherein after displaying the feature information corresponding to each of the word-segmentation vocabularies, the method further comprises:
receiving a second input of the first target characteristic information by the user;
responding to the second input, and displaying a first target link corresponding to the first target characteristic information; the first target link is a link which is contained in the target content and contains a class word segmentation corresponding to the first target characteristic information.
6. An information display device characterized by comprising:
the first acquisition module is used for acquiring target information;
a search module for searching for target content associated with the target information;
the word segmentation module is used for segmenting the target content to obtain a word segmentation result;
and the first display module is used for displaying the word segmentation result.
7. The apparatus of claim 6, further comprising:
the first receiving module is used for receiving a first input;
the hiding module is used for responding to the first input and hiding the second content under the condition that the content similarity of the second content and the first content is larger than a preset similarity; wherein the target content comprises the first content and the second content.
8. The apparatus of claim 6, further comprising:
the classification module is used for classifying the word segmentation result to obtain various word segmentation vocabularies;
the second acquisition module is used for acquiring the keywords corresponding to each type of word segmentation vocabulary; taking the keywords as characteristic information corresponding to the word segmentation words;
the first display module is specifically configured to: and displaying the characteristic information corresponding to each type of word segmentation vocabulary.
9. The apparatus of claim 8, further comprising:
the second receiving module is used for receiving second input of the first target characteristic information by the user;
the second display module is used for responding to the second input and displaying a first target link corresponding to the first target characteristic information; the first target link is a link which is contained in the target content and contains a class word segmentation corresponding to the first target characteristic information.
10. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the information display method according to any one of claims 1-5.
11. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, carry out the steps of the information display method according to any one of claims 1 to 5.
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Application publication date: 20201027 |