CN111859108A - Public opinion system search word recommendation system - Google Patents
Public opinion system search word recommendation system Download PDFInfo
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- CN111859108A CN111859108A CN202010453147.1A CN202010453147A CN111859108A CN 111859108 A CN111859108 A CN 111859108A CN 202010453147 A CN202010453147 A CN 202010453147A CN 111859108 A CN111859108 A CN 111859108A
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Abstract
The invention discloses a public sentiment system search word recommendation system, relates to the technical field of public sentiment systems, and aims to solve the problems that in the prior art, when a public sentiment system searches entries, the public sentiment system intelligently searches the current entries in a large range, although the final search result is obtained by screening, more useless or biased entries still exist, and the search accuracy cannot be effectively guaranteed. The public opinion search unit comprises a search engine module, the input end of the search engine module is connected with the output end of the real-time popular entry module, the input end of the real-time popular entry module is connected with the output end of the entry resource acquisition unit, the output end of the search engine module is connected with the input end of the information input module, the information input module is in two-way connection with the information storage module, and the output end of the information storage module is connected with the input end of the personalized overall planning customization unit and the input end of the history recording module.
Description
Technical Field
The invention relates to the technical field of public sentiment systems, in particular to a public sentiment system search word recommendation system.
Background
The public opinion system needs to comprehensively apply a search engine technology, a text processing technology, a knowledge management method, a natural language processing and a mobile phone short message platform, automatically acquire, extract, classify, cluster, theme monitoring and focus on mass information of the internet to meet the requirements of users on network public opinion monitoring, hot event topic tracking and the like, and integrates core functions of public opinion monitoring, public opinion collection, public opinion intelligent analysis, public opinion processing, public opinion early warning, public opinion search, public opinion report auxiliary generation, public opinion short message automatic reminding and the like. Helping the client to comprehensively master the public opinion dynamic and correctly conduct public opinion guidance. The method plays a certain auxiliary role in ensuring the public opinion guidance correctness of the public media of the internet in China, realizes the purpose of government worries, and monitors and manages the internet public opinions. With the public opinion system, the propaganda department can effectively standardize internet information and guide healthy and beneficial public opinion guide. The system plays a decisive role in promoting to strengthen internet information supervision, organizing strength to carry out information arrangement and deep analysis, handling public events of network outburst and comprehensively mastering social sentiment and ideas, and with the arrival of the information era, the strength of public opinion is continuously enhanced, and particularly with the help of the internet, the social public opinion becomes a strength which cannot be ignored by people. Under the large environment, the demand of a powerful and perfect system shows nothing, and a good public opinion system can help a user to master the public opinion dynamics at the first time, so that the user does not need to be dragged by the public opinion through the nose, and always keeps the initiative.
However, when the existing public opinion system searches the entries, the existing public opinion system intelligently searches the current entries in a large range, and although the final search result is obtained by screening, the final search result still has more useless or biased entries, and the accuracy of the search cannot be effectively guaranteed; therefore, the existing requirements are not met, and a public opinion system search word recommendation system is provided for the public opinion system search word recommendation system.
Disclosure of Invention
The invention aims to provide a public sentiment system search word recommendation system to solve the problems that when a public sentiment system provided in the background technology carries out the search of entries, the public sentiment system intelligently carries out the large-scale search aiming at the current entry, although the final search result is obtained by screening, more useless or biased entries exist, and the search accuracy cannot be effectively guaranteed.
In order to achieve the purpose, the invention provides the following technical scheme: a public opinion system search word recommendation system comprises a public opinion search unit, wherein the public opinion search unit comprises a search engine module, the input end of the search engine module is connected with the output end of a real-time popular entry module, the input end of the real-time popular entry module is connected with the output end of an entry resource acquisition unit, the output end of the search engine module is connected with the input end of an information input module, the information input module is bidirectionally connected with an information storage module, the output end of the information storage module is connected with the input ends of a personalized overall planning customization unit and a history recording module, the output end of the information input module is connected with the input end of a target word analysis module, the output end of the target word analysis module is connected with the input end of a data source acquisition module, and the input end of the data source acquisition module is connected with the output end of an Internet big data module, the output end of the data source acquisition module is connected with the input end of the information participle acquisition module, the output end of the information participle acquisition module is connected with the input end of the data source participle acquisition module, and the input end of the data source participle acquisition module is connected with the output end of the multinomial part of speech scoring module.
Preferably, the output ends of the data source acquisition module and the data source word segmentation acquisition module are connected with the input end of the search entry integration module, the output end of the search entry integration module is connected with the input end of the intelligent matching module, and the output end of the intelligent matching module is connected with the input end of the public opinion recommendation unit.
Preferably, the output end of the personalized overall planning and customizing unit is connected with the input ends of the internet big data module and the multinomial word class scoring module.
Preferably, the personalized overall planning and customizing unit comprises a search data reading module and a browsing record reading module, wherein the output end of the search data reading module is connected with the input end of the entry classification module, and the output end of the browsing record reading module is connected with the input end of the target classification module.
Preferably, the output ends of the entry classification module and the target classification module are connected with the input end of the cloud warehouse information module, and the cloud warehouse information module is in bidirectional connection with the data extraction auxiliary module.
Preferably, the entry resource obtaining unit includes a website entry monitoring module, and an input end of the website entry monitoring module is connected to an output end of the joint authorization module.
Preferably, the output end of the website item monitoring module is connected with the input end of the category screening module, the input end of the category screening module is connected with the output end of the weight ratio setting module, the output end of the category screening module is connected with the input end of the keyword picking module, and the output end of the keyword picking module is connected with the input end of the keyword integrating module.
Preferably, the output end of the keyword integration module is connected with the input end of the original website skip module, and the original website skip module comprises Baidu, search and Google.
Compared with the prior art, the invention has the beneficial effects that:
1. the personalized overall planning and customizing unit of the invention correspondingly adjusts according to all retrieval information and habits of individuals, so that the overall search range of the system is more in line with the retrieval requirements of the users, the retrieval accuracy is improved, the personalized overall planning and customizing unit comprises a search data reading module and a browsing record reading module, the search data reading module can read all the retrieval information of the users, then the retrieval information is uniformly sorted and classified, when the information input by the users is in line with or close to the recorded information in the later use process, the system can quickly react, the browsing record reading module reads the vocabulary entry browsing records of the users, because the vocabulary entries clicked by the users must be the required information resources, after the recorded browsing information, the resource information required by the user can be more accurately found by matching with the search data reading module;
2. The retrieval information input by the user can be regulated in a standard way through the information input module, and the retrieved entry is inconsistent with the search information due to the fact that the retrieval information input by the user is possibly not standard enough, so that the retrieval information is in line with the quick and convenient search operation of the system.
Drawings
FIG. 1 is an overall workflow diagram of the present invention;
FIG. 2 is a flow chart of the personalized orchestration customization unit according to the present invention;
fig. 3 is a flowchart of the work of the entry resource obtaining unit of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-3, an embodiment of the present invention is shown: a public opinion system search word recommendation system comprises a public opinion search unit, the public opinion search unit comprises a search engine module, a user enters the search engine module through an input website, then corresponding entry information is input according to self requirements, the system can automatically search, the input end of the search engine module is connected with the output end of a real-time hot entry module, in the website of the search engine, the system can automatically count and record real-time hot entries of each large website on the same day, correspondingly select and classify the entries, and simply display the selected entries, so that the browsed entries are visually provided for fast understanding, the input end of the real-time hot entry module is connected with the output end of an entry resource acquisition unit, the entry resource acquisition unit mainly acquires real-time information resources from each large website, and the output end of the search engine module is connected with the input end of an information input module, the retrieval information input by a user is not standard enough, which can cause that the retrieved entry is inconsistent with the search information, the retrieval information input by the user can be regulated in a standard way through the information input module, so that the retrieval information accords with the quick and convenient search operation of the system, the information input module is connected with the information storage module in two ways, the information storage module can record the entry information browsed and searched by the user every time, the output end of the information storage module is connected with the input ends of the personalized overall planning and customizing unit and the history recording module, the user can directly find out the previous search record through the history record, which is convenient for quickly finding out the required entry information, the output end of the information input module is connected with the input end of the target word analysis module, and the retrieval entry after the system is standard is analyzed through the target word analysis module, then searching is carried out according to the analysis result, the output end of the target word analysis module is connected with the input end of the data source acquisition module, the input end of the data source acquisition module is connected with the output end of the internet big data module, the output end of the data source acquisition module is connected with the input end of the information participle acquisition module, the information participle acquisition module can split the search entry, split the keywords in the entry and then carry out data search according to the keywords, the output end of the information participle acquisition module is connected with the input end of the data source participle acquisition module, the input end of the data source word segmentation acquisition module is connected with the output end of the multinomial word classification scoring module, and the multinomial word classification scoring module can systematically score entry information retrieved by different word segmentations and preferentially display the highest scoring entry information, so that information resources which best meet the word segmentation are found out.
Furthermore, the output ends of the data source acquisition module and the data source word segmentation acquisition module are connected with the input end of the search entry integration module, the search entry integration module can arrange all scoring retrieval results, the output end of the search entry integration module is connected with the input end of the intelligent matching module, the intelligent matching module carries out final comparison on the integrated resource information, and therefore the standard resources which are most consistent are arranged, the output end of the intelligent matching module is connected with the input end of the public opinion recommendation unit, and the search results are fed back to a user through the public opinion recommendation unit.
Furthermore, the output end of the personalized overall planning customizing unit is connected with the input ends of the internet big data module and the multinomial word class scoring module, and the personalized overall planning customizing unit is correspondingly adjusted according to all retrieval information and habits of individuals, so that the overall searching range of the system is more in line with the retrieval requirements of the user, and the retrieval accuracy is improved.
Furthermore, the personalized overall planning and customizing unit comprises a search data reading module and a browsing record reading module, the output end of the search data reading module is connected with the input end of the entry classifying module, the search data reading module can read all the search information of the user and then uniformly sort the search information, in the later use process, when the information input by the user is consistent with or close to the recorded information, the system can quickly respond, the output end of the browsing record reading module is connected with the input end of the target classification module, and the browsing record reading module is used for reading the vocabulary entry browsing record of the user, because the vocabulary entry clicked by the user is necessary to be the information resource required by the user, therefore, after the recorded browsing information, the resource information required by the user can be found more accurately by matching with the search data reading module.
Furthermore, the output ends of the entry classification module and the target classification module are connected with the input end of the cloud warehouse information module, the cloud warehouse information module is mainly used for storing the classification information sorted out by the system, and the cloud warehouse information module is in bidirectional connection with the data extraction auxiliary module, so that the cloud warehouse information module can help the cloud warehouse information module to quickly and accurately find the resource information through different account information.
Furthermore, the entry resource acquisition unit comprises a website entry monitoring module, the input end of the website entry monitoring module is connected with the output end of the joint authorization module, and the platform can perform joint authorization with each popular website, so that the resource information of each website can be acquired in real time.
Furthermore, the output end of the website item monitoring module is connected with the input end of the category screening module, the input end of the category screening module is connected with the output end of the weight ratio setting module, the weight ratio setting module can screen the required keyword information according to different user requirements, the output end of the category screening module is connected with the input end of the keyword picking module, and the output end of the keyword picking module is connected with the input end of the keyword integrating module.
Furthermore, the output end of the keyword integration module is connected with the input end of the original website skipping module, the original website skipping module comprises Baidu, search and Google, and after a user clicks the keyword, the system can skip the webpage according to the information of the keyword.
The working principle is as follows: when in use, a user enters the search engine module through an input website, then corresponding entry information is input according to self requirements, then the system can carry out standard adjustment on the retrieval information input by the user through the information input module, the retrieved entry is not consistent with the search information because the retrieval information input by the user is possibly not standard enough, the retrieval information can be in accordance with the quick and convenient search operation of the system after being standard, then the retrieval entry after being standard is analyzed through the target word analysis module, then the search is carried out according to the analysis result, after large-scale screening, the system can also split the retrieval entry through the information participle collection module, the keywords in the entry are split, then the data retrieval is carried out according to the keywords, and the systematic scoring can be carried out on the entry information retrieved by different participles through the multinomie part word scoring module, the highest grade is preferentially displayed, so that the information resource which best accords with the word segmentation is found out, in the process, the system can correspondingly adjust according to all retrieval information and habits of an individual through the personalized overall customization unit, so that the overall search range of the system better accords with the retrieval requirement of the user, the retrieval accuracy is improved, the personalized overall customization unit comprises a search data reading module and a browsing record reading module, the search data reading module can read all the retrieval information of the user, then the retrieval information is uniformly sorted and classified, in the later use process, when the information input by the user accords with or is close to the recorded information, the system can quickly react, the browsing record reading module reads the word browsing record of the user, because the word clicked by the user is necessarily the required information resource, therefore, after the recorded browsing information, the resource information required by the user can be more accurately found by matching with the search data reading module, then all the grading retrieval results are sorted by the search entry integration module, the intelligent matching module carries out final comparison on the integrated resource information so as to sort out the most conforming standard resources, finally the search results are fed back to the user by the public opinion recommending unit, meanwhile, in the website of the search engine, the system can automatically count and record the real-time hot top entries of each large website in the current day, correspondingly select and classify the entries, and simply display the selected entries so as to visually provide the browser with quick understanding, the entry resource acquiring unit in the system mainly acquires the real-time information resources from each large website, the information storage module can record the entry information browsed and searched by the user each time, the user can directly find out the previous searching record through the historical records, and the required entry information can be conveniently and quickly found.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (8)
1. The utility model provides a public opinion system search word recommendation system, includes public opinion search unit, its characterized in that: the public opinion searching unit comprises a searching engine module, the input end of the searching engine module is connected with the output end of the real-time popular entry module, the input end of the real-time popular entry module is connected with the output end of the entry resource acquiring unit, the output end of the searching engine module is connected with the input end of the information input module, the information input module is bidirectionally connected with the information storage module, the output end of the information storage module is connected with the input ends of the personalized overall planning customizing unit and the history recording module, the output end of the information input module is connected with the input end of the target word analyzing module, the output end of the target word analyzing module is connected with the input end of the data source acquiring module, the input end of the data source acquiring module is connected with the output end of the internet big data module, and the output end of the data source acquiring module is connected with the input end of the information participle acquiring module, the output end of the information word segmentation acquisition module is connected with the input end of the data source word segmentation acquisition module, and the input end of the data source word segmentation acquisition module is connected with the output end of the multinomial word class scoring module.
2. The public opinion system search term recommendation system according to claim 1, characterized in that: the output ends of the data source acquisition module and the data source word segmentation acquisition module are connected with the input end of the search entry integration module, the output end of the search entry integration module is connected with the input end of the intelligent matching module, and the output end of the intelligent matching module is connected with the input end of the public opinion recommendation unit.
3. The public opinion system search term recommendation system according to claim 1, characterized in that: the output end of the personalized overall planning and customizing unit is connected with the input ends of the internet big data module and the multinomial word class scoring module.
4. The public opinion system search term recommendation system according to claim 3, characterized in that: the personalized overall planning and customizing unit comprises a search data reading module and a browsing record reading module, wherein the output end of the search data reading module is connected with the input end of the entry classifying module, and the output end of the browsing record reading module is connected with the input end of the target classifying module.
5. The public opinion system search term recommendation system according to claim 4, characterized in that: the output ends of the entry classification module and the target classification module are connected with the input end of the cloud warehouse information module, and the cloud warehouse information module is in two-way connection with the data extraction auxiliary module.
6. The public opinion system search term recommendation system according to claim 1, characterized in that: the entry resource acquisition unit comprises a website entry monitoring module, and the input end of the website entry monitoring module is connected with the output end of the joint authorization module.
7. The public opinion system search term recommendation system according to claim 6, characterized in that: the website item monitoring module is characterized in that the output end of the website item monitoring module is connected with the input end of the category screening module, the input end of the category screening module is connected with the output end of the weight ratio setting module, the output end of the category screening module is connected with the input end of the keyword picking module, and the output end of the keyword picking module is connected with the input end of the keyword integrating module.
8. The public opinion system search term recommendation system according to claim 7, wherein: the output end of the keyword integration module is connected with the input end of the original website skip module, and the original website skip module comprises Baidu, search and Google.
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| CN202010453147.1A CN111859108A (en) | 2020-05-26 | 2020-05-26 | Public opinion system search word recommendation system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112965996A (en) * | 2021-03-29 | 2021-06-15 | 苏州上元经纬培训有限公司 | Internet education test question resource integration system and integration method thereof |
| CN113282827A (en) * | 2021-05-31 | 2021-08-20 | 倪泽 | Double-diamond model system |
-
2020
- 2020-05-26 CN CN202010453147.1A patent/CN111859108A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112965996A (en) * | 2021-03-29 | 2021-06-15 | 苏州上元经纬培训有限公司 | Internet education test question resource integration system and integration method thereof |
| CN113282827A (en) * | 2021-05-31 | 2021-08-20 | 倪泽 | Double-diamond model system |
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Application publication date: 20201030 |