CN109670095A - A kind of public sentiment degree of correlation matching process based on semanteme naturally - Google Patents
A kind of public sentiment degree of correlation matching process based on semanteme naturally Download PDFInfo
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- CN109670095A CN109670095A CN201811374697.3A CN201811374697A CN109670095A CN 109670095 A CN109670095 A CN 109670095A CN 201811374697 A CN201811374697 A CN 201811374697A CN 109670095 A CN109670095 A CN 109670095A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000008451 emotion Effects 0.000 claims abstract description 14
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims abstract description 4
- 230000011218 segmentation Effects 0.000 claims abstract description 4
- 238000011160 research Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- General Health & Medical Sciences (AREA)
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- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract
The present invention provides a kind of based on naturally semantic public sentiment degree of correlation matching process, which comprises the database of emotion word Yu event type relationship is established by big data analysis；The network information is grabbed using crawler, clustering is carried out to text and carries out word segmentation processing, corresponding short text is obtained, the emotion word in short text is collected and is matched with above-mentioned the data obtained library, and obtains the event type of the direction of the public sentiment Sentiment orientation in the network information.The present invention is based on naturally semantic algorithms can accurately obtain the event type being directed toward in the network information, and obtains the public sentiment emotion guiding of the public in time, provides public sentiment reference for social governor and the public.
Description
Technical field
The present invention relates to a kind of based on naturally semantic public sentiment degree of correlation matching process.
Background technique
Natural semantic processes are enabled the machine to as people, are handled language, are studied, understanding that even progress is anti-
Feedback, it is related to many subject knowledge fields, is a Cross margin scicence.Natural semantic processes experienced the research of decades,
Once it had been considered as impossible task, people's lives can be stepped into till now.From unrealistically optimistic to pragmatical, from
Toy is tested to theoretical research, is the road for development of nature semantic understanding research.Although still not bery mature, from last century eight
The nineties open, with computer technology high speed grow rapidly, the raising of arithmetic speed and accuracy, natural semantic processes into
The brand-new stage is entered.Mere theoretical discussion once can apply.A series of products of natural semantic processes also all by
Step enters into people's lives, from almost everyone practical translation on line contacted, the letter that is needed when to browsing network information
Breath retrieval, and move the voice input of end equipment, speech recognition etc..
Currently, since public sentiment source and information are increasingly complicated, public sentiment can be accurately analyzed, is social governor
And the problem of public attention.
Summary of the invention
The purpose of the present invention is to provide a kind of based on naturally semantic public sentiment degree of correlation matching process, the method packet
It includes:
The database of emotion word Yu event type relationship is established by big data analysis；
The network information is grabbed using crawler, clustering is carried out to text and carries out word segmentation processing, is obtained corresponding
Short text is collected the emotion word in short text and is matched with above-mentioned the data obtained library, and obtains the public sentiment in the network information
The event type that Sentiment orientation is directed toward.
When obtaining corresponding short text, the front and back in short text is sewed, stops word and phonetic is filtered.
When establishing emotion word, explains and carry out in conjunction with " student passes judgement on dictionary " and network popular word Baidupedia.
The network information includes forum's text patch, micro-blog information, wechat article, QQ space information.
Beneficial effects of the present invention:
The present invention is based on naturally semantic algorithms can accurately obtain the event type being directed toward in the network information, and obtains in time public
Many public sentiment emotion guiding provide public sentiment reference for social governor and the public.
Specific embodiment
The present invention is specifically described below by embodiment, it is necessary to which indicated herein is that following embodiment is only used
It is further detailed in the present invention, should not be understood as limiting the scope of the invention, which is skilled in technique
Some nonessential modifications and adaptations that personnel are made according to foregoing invention content, still fall within protection scope of the present invention.
Embodiment 1
The database of emotion word Yu event type relationship is established by big data analysis；
The network information is grabbed using crawler, clustering is carried out to text and carries out word segmentation processing, is obtained corresponding
Short text is collected the emotion word in short text and is matched with above-mentioned the data obtained library, and obtains the public sentiment in the network information
The event type that Sentiment orientation is directed toward.
When obtaining corresponding short text, the front and back in short text is sewed, stops word and phonetic is filtered.
When establishing emotion word, explains and carry out in conjunction with " student passes judgement on dictionary " and network popular word Baidupedia.
The network information includes forum's text patch, micro-blog information, wechat article, QQ space information.
Claims (4)
1. a kind of based on naturally semantic public sentiment degree of correlation matching process, which is characterized in that the described method includes:
The database of emotion word Yu event type relationship is established by big data analysis；
The network information is grabbed using crawler, clustering is carried out to text and carries out word segmentation processing, obtains corresponding short essay
This, collects the emotion word in short text and is matched with above-mentioned the data obtained library, and obtain the public sentiment emotion in the network information
It is inclined to the event type being directed toward.
2. the method according to claim 1, wherein when obtaining corresponding short text, to the front and back in short text
Sew, stop word and phonetic is filtered.
3. the method according to claim 1, wherein when establishing emotion word, in conjunction with " student passes judgement on dictionary " and net
Network popular word Baidupedia, which is explained, to carry out.
4. the method according to claim 1, wherein the network information include forum's text patch, it is micro-blog information, micro-
Message chapter, QQ space information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811374697.3A CN109670095A (en) | 2018-11-19 | 2018-11-19 | A kind of public sentiment degree of correlation matching process based on semanteme naturally |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811374697.3A CN109670095A (en) | 2018-11-19 | 2018-11-19 | A kind of public sentiment degree of correlation matching process based on semanteme naturally |
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| Publication Number | Publication Date |
|---|---|
| CN109670095A true CN109670095A (en) | 2019-04-23 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811374697.3A Pending CN109670095A (en) | 2018-11-19 | 2018-11-19 | A kind of public sentiment degree of correlation matching process based on semanteme naturally |
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| CN (1) | CN109670095A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111881382A (en) * | 2020-07-30 | 2020-11-03 | 北京百度网讯科技有限公司 | Information display method and apparatus, system and medium implemented by computer system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107315778A (en) * | 2017-05-31 | 2017-11-03 | 温州市鹿城区中津先进科技研究院 | A kind of natural language the analysis of public opinion method based on big data sentiment analysis |
| CN108733791A (en) * | 2018-05-11 | 2018-11-02 | 北京科技大学 | network event detection method |
-
2018
- 2018-11-19 CN CN201811374697.3A patent/CN109670095A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107315778A (en) * | 2017-05-31 | 2017-11-03 | 温州市鹿城区中津先进科技研究院 | A kind of natural language the analysis of public opinion method based on big data sentiment analysis |
| CN108733791A (en) * | 2018-05-11 | 2018-11-02 | 北京科技大学 | network event detection method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111881382A (en) * | 2020-07-30 | 2020-11-03 | 北京百度网讯科技有限公司 | Information display method and apparatus, system and medium implemented by computer system |
| CN111881382B (en) * | 2020-07-30 | 2024-05-14 | 北京百度网讯科技有限公司 | Information display method and device, system and medium implemented by computer system |
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Application publication date: 20190423 |