CN109992720A - A kind of system and method for promoting user and writing attention rate of the content in social media - Google Patents
A kind of system and method for promoting user and writing attention rate of the content in social media Download PDFInfo
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- CN109992720A CN109992720A CN201910261651.9A CN201910261651A CN109992720A CN 109992720 A CN109992720 A CN 109992720A CN 201910261651 A CN201910261651 A CN 201910261651A CN 109992720 A CN109992720 A CN 109992720A
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- 230000001737 promoting effect Effects 0.000 title claims description 7
- 238000004458 analytical method Methods 0.000 claims description 18
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Abstract
The present invention relates to a kind of system and method that promotion user writes attention rate of the content in social media, before user writes content in social media and does not upload, the keyword for including in content is write by analyzing and extracting user, being expanded becomes product keyword, and collect temperature of the content comprising product keyword in social media, form the data of writing for searching content comprising heat and be supplied to user, user according to write data modification its write content after be uploaded to social media again.It includes that heat searches content that content is write since user is modified, when uploading and being distributed in social media, attention rate is readily available promotion, to achieve the purpose that publicize widely, the soft Wen Shangre of advertisement for helping user to be write is searched, and plays good advertising results.
Description
Technical field
The present invention relates to data processing fields, and in particular to a kind of promotion user writes concern of the content in social media
The system and method for degree.
Background technique
Since social media is liked by numerous netizens, become new advertising channel, user issues in social media
It when product advertising is soft literary, writes content and usually lays particular emphasis on product introduction, high forwarding can not be obtained mostly, comment on or thumb up,
There are problems that lacking attention rate.For this kind of soft text of the advertisement based on social media, propagates the efficiency promoted and just compare
It is lower.
Summary of the invention
The purpose of the present invention is to provide it is a kind of promotion user write attention rate of the content in social media system and
Method, before the soft text of advertisement that user has write product is published to social media, push is mentioned comprising the data of writing that heat searches content
Supply user, user according to write data modification its write content after be uploaded to social media again, the soft text of the advertisement for writing it
It is easy upper heat to search, plays good advertising results.
To achieve the above object, the technical solution adopted by the present invention is that:
A kind of system for promoting user and writing attention rate of the content in social media, including extract keyword unit, extension production
Product keyword unit, social media content picking unit, social media content filter element, the analysis of social media content temperature are single
Member obtains and writes information unit, writes data offer unit；
The extraction keyword unit: obtaining user's content for writing in social media and not uploading, from writing in content
It analyzes and extracts keyword；
The extended products keyword unit: the keyword extracted is compared with keywords database, the pass of filtering and product onrelevant
Keyword retains the high keyword of the degree of association, and is extended, and obtains product keyword；
The social media content picking unit: it searches for or crawls in different social medias according to product keyword and wrapped
The social media content of the keyword containing product；
The social media content filter element: including the social activity of product keyword by the analysis of existing semantics recognition analysis tool
Media content is filtered the social media content for including product keyword, rejects negative content or invalid content；
Social media content temperature analytical unit: mutual-action behavior number of the filtered social media content in social media is turned
Chemical conversion is temperature, and is ranked up from high to low to social media content according to the temperature, and temperature ranking list is formed；Wherein, hot
Degree is for evaluating value of the social media content in social media；
Information unit is write in acquisition: using similarity analysis to the social media content of threshold percentage before temperature ranking list, calculates
A plurality of social media content is divided into multiple groups according to similarity value, and obtained comprising item number in social media most by similarity value
More one group is used as and writes data；
It writes data and unit is provided: a plurality of social media content in the data of writing is supplied to user as Optimizing Suggestions, supply
User writes content to it and modifies and optimize.
A method of it promoting user and writes attention rate of the content in social media, comprising the following steps:
Step 1 obtains the content that user is writing in social media and do not uploading, analyzes and extracts in content from writing
Keyword；
Step 2 compares the keyword extracted and keywords database, and the keyword of filtering and product onrelevant retains the degree of association
High keyword, and be extended, obtain product keyword；
Step 3 is searched for or is crawled in different social medias according to product keyword and obtains the society comprising product keyword
Hand over media content；
Step 4 analyzes the social media content comprising product keyword by existing semantics recognition analysis tool, includes to this
The social media content of product keyword is filtered, and rejects negative content or invalid content；
Mutual-action behavior number of the filtered social media content in social media is transformed into temperature by step 5, and according to this
Temperature is from high to low ranked up social media content, forms temperature ranking list；Wherein, temperature is for evaluating in social media
Hold the value in social media；
Step 6 uses similarity analysis to the social media content of threshold percentage before temperature ranking list, calculates similarity value, root
A plurality of social media content is divided into multiple groups according to similarity value, and obtains the one group conduct most comprising item number in social media
Write data；
The a plurality of social media content write in data obtained in step 6 is supplied to user as Optimizing Suggestions by step 7；
Step 8, user write data and write content to it and modify and optimize, and write content for modified according to described in
It is uploaded to social media.
After adopting the above scheme, before user writes content in social media and do not upload, the present invention is by analyzing and mentioning
It takes family and writes the keyword for including in content, being expanded becomes product keyword, and collects interior comprising product keyword
Hold the temperature in social media, forms the data of writing for searching content comprising heat and be supplied to user, user repairs according to the data of writing
Change after it writes content and is uploaded to social media again.It includes that heat searches content that content is write since user is modified, and upload simultaneously will
When it is distributed in social media, attention rate is readily available promotion, to achieve the purpose that publicize widely, helps user institute
The soft Wen Shangre of the advertisement write is searched, and plays good advertising results.
Detailed description of the invention
Fig. 1 is flow chart of the present invention.
Specific embodiment
As shown in Figure 1, present invention discloses a kind of system that promotion user writes attention rate of the content in social media,
Including extracting keyword unit, extended products keyword unit, social media content picking unit, social media content filtering list
Member, social media content temperature analytical unit obtain and write information unit, write data offer unit:
It extracts keyword unit: obtaining the content that user is writing in social media and do not uploading, divide from writing in content
It analyses and extracts keyword；
Extended products keyword unit: the keyword extracted is compared with keywords database, the key of filtering and product onrelevant
Word retains the high keyword of the degree of association, and is extended, and obtains product keyword；
It, can be using synonymous keyword extension, association keyword expansion or semantic key words extension when carrying out keyword expansion.
Wherein, synonymous keyword extension, which refers to, is extended keyword according near synonym, the synonym in dictionary, such as
" bike " is extended to " bike-bicycle "；It is associated with keyword expansion, refers to and is extended to more detailed key in same scope
Word, such as " sport footwear " are extended to " running shoes-basketball shoes-skateboard "；Semantic key words extension, refer to according to keywords semantics into
Row extension, as, for referring to " sport footwear ", " Air Force " is the trade name of a sport footwear in " sneaker " spoken language.
Social media content picking unit: it searches for or crawls in different social medias according to product keyword and obtain
Social media content comprising product keyword, the social media content can be obtained using api interface, directly read search knot
Fruit, crawler the modes such as crawl and obtain.
Social media content filter element: including the society of product keyword by the analysis of existing semantics recognition analysis tool
Media content is handed over, which is filtered, rejects preset negative content or invalid
Content.Such as reject have discriminations, pornographic, Panic Tendency, violent tenet, political sensitivity negative content, rejecting advertisement, spit slot,
The invalid contents such as complaint, meaningless character string.
Social media content temperature analytical unit: by mutual-action behavior of the filtered social media content in social media
Number transforms into temperature, and is ranked up from high to low to social media content according to the temperature, forms temperature ranking list；Its
In, temperature is for evaluating value of the social media content in social media.
Because the cost that different behaviors are paid is different, based on minimum action principle, cost general satisfaction " thumbs up < comment < to turn
Hair ", therefore the weight on cost assigned from low to high is from low to high, to form evaluation index temperature.
The present invention can also search ranking list with reference to the heat of social media.
Information unit is write in acquisition: using similarity to for example preceding social media content 10%) of T%(before temperature ranking list
Analysis calculates similarity value, a plurality of social media content is divided into multiple groups according to similarity value, and obtaining includes social media
Data is write in one group of most conduct of interior item number.
It writes data and unit is provided: a plurality of social media content in the data of writing is supplied to use as Optimizing Suggestions
Family writes content to it for user and modifies and optimize, the content of social media is uploaded to after the modification, due to high temperature
Social media content possess identical or similar temperature word, be just easier heat and search, higher attention rate can be obtained.
A kind of method for promoting user and writing attention rate of the content in social media of the present invention, specifically includes following step
It is rapid:
Step 1 obtains the content that user is writing in social media and do not uploading, analyzes and extracts in content from writing
Keyword；
Step 2 compares the keyword extracted and keywords database, and the keyword of filtering and product onrelevant retains the degree of association
High keyword, and be extended, obtain product keyword；
It, can be using synonymous keyword extension, association keyword expansion or semantic key words extension when carrying out keyword expansion.
Step 3 is searched for or is crawled in different social medias according to product keyword and obtains comprising product keyword
Social media content, the social media content can using api interface obtain, directly read search result, crawler crawls
Mode obtains.
Step 4 analyzes the social media content comprising product keyword by existing semantics recognition analysis tool, to this
Social media content comprising product keyword is filtered, and rejects negative content or invalid content.There is discrimination, color as rejected
The negative contents such as feelings, Panic Tendency, violent tenet, political sensitivity, reject that advertisement, to spit slot, complaint, meaningless character string etc. invalid
Content.
Mutual-action behavior number of the filtered social media content in social media is transformed into temperature, and root by step 5
Social media content is ranked up from high to low according to the temperature, forms temperature ranking list；Wherein, temperature is for evaluating social matchmaker
Hold the value in social media in vivo.
Because the cost that different behaviors are paid is different, based on minimum action principle, cost general satisfaction " thumbs up < comment < to turn
Hair ", therefore the weight on cost assigned from low to high is from low to high, to form evaluation index temperature.
Step 6 uses similarity analysis to for example preceding social media content 10%) of T%(before temperature ranking list, calculates phase
Like angle value, a plurality of social media content is divided by multiple groups according to similarity value, and obtain most comprising item number in social media
One group as writing data；
The a plurality of social media content write in data obtained in step 6 is supplied to user as Optimizing Suggestions by step 7.
Step 8, user write data and write content to it and modify and optimize, and write modified according to described in
Content uploading just compares to social media due to possessing identical or similar temperature word with the social media content of high temperature
It is easy upper heat to search, higher attention rate can be obtained.
It is of the invention it is critical that user writes content in social media and do not upload before, the present invention by analysis simultaneously
It extracts user and writes the keyword for including in content, being expanded becomes product keyword, and collects comprising product keyword
Temperature of the content in social media forms the data of writing for searching content comprising heat and is supplied to user, and user is according to the data of writing
It modifies after it writes content and is uploaded to social media again.It includes that heat searches content that content is write since user is modified, is uploaded simultaneously
When being distributed in social media, attention rate is readily available promotion, to achieve the purpose that publicize widely.
The above is only the embodiment of the present invention, is not intended to limit the scope of the present invention, therefore all
Any subtle modifications, equivalent variations and modifications to the above embodiments according to the technical essence of the invention still fall within this
In the range of inventive technique scheme.
Claims (2)
1. a kind of system for promoting user and writing attention rate of the content in social media, it is characterised in that: crucial including extracting
Word unit, extended products keyword unit, social media content picking unit, social media content filter element, social media
Content temperature analytical unit, acquisition write information unit, write data offer unit；
The extraction keyword unit: obtaining user's content for writing in social media and not uploading, from writing in content
It analyzes and extracts keyword；
The extended products keyword unit: the keyword extracted is compared with keywords database, the pass of filtering and product onrelevant
Keyword retains the high keyword of the degree of association, and is extended, and obtains product keyword；
The social media content picking unit: it searches for or crawls in different social medias according to product keyword and wrapped
The social media content of the keyword containing product；
The social media content filter element: including the social activity of product keyword by the analysis of existing semantics recognition analysis tool
Media content is filtered the social media content for including product keyword, rejects negative content or invalid content；
Social media content temperature analytical unit: mutual-action behavior number of the filtered social media content in social media is turned
Chemical conversion is temperature, and is ranked up from high to low to social media content according to the temperature, and temperature ranking list is formed；Wherein, hot
Degree is for evaluating value of the social media content in social media；
Information unit is write in acquisition: using similarity analysis to the social media content of threshold percentage before temperature ranking list, calculates
A plurality of social media content is divided into multiple groups according to similarity value, and obtained comprising item number in social media most by similarity value
More one group is used as and writes data；
It writes data and unit is provided: a plurality of social media content in the data of writing is supplied to user as Optimizing Suggestions, supply
User writes content to it and modifies and optimize.
2. a kind of method for promoting user and writing attention rate of the content in social media, it is characterised in that the following steps are included:
Step 1 obtains the content that user is writing in social media and do not uploading, analyzes and extracts in content from writing
Keyword；
Step 2 compares the keyword extracted and keywords database, and the keyword of filtering and product onrelevant retains the degree of association
High keyword, and be extended, obtain product keyword；
Step 3 is searched for or is crawled in different social medias according to product keyword and obtains the society comprising product keyword
Hand over media content；
Step 4 analyzes the social media content comprising product keyword by existing semantics recognition analysis tool, includes to this
The social media content of product keyword is filtered, and rejects negative content or invalid content；
Mutual-action behavior number of the filtered social media content in social media is transformed into temperature by step 5, and according to this
Temperature is from high to low ranked up social media content, forms temperature ranking list；Wherein, temperature is for evaluating in social media
Hold the value in social media；
Step 6 uses similarity analysis to the social media content of threshold percentage before temperature ranking list, calculates similarity value, root
A plurality of social media content is divided into multiple groups according to similarity value, and obtains the one group conduct most comprising item number in social media
Write data；
The a plurality of social media content write in data obtained in step 6 is supplied to user as Optimizing Suggestions by step 7；
Step 8, user write data and write content to it and modify and optimize, and write content for modified according to described in
It is uploaded to social media.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811359899 | 2018-11-15 | ||
| CN2018113598990 | 2018-11-15 |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103957275A (en) * | 2014-05-19 | 2014-07-30 | 北京奇虎科技有限公司 | Pushing method, client terminal, server and system for user commenting information |
| CN104077377A (en) * | 2014-06-25 | 2014-10-01 | 红麦聚信(北京)软件技术有限公司 | Method and device for finding network public opinion hotspots based on network article attributes |
| US20140297617A1 (en) * | 2013-03-29 | 2014-10-02 | Broadcom Corporation | Method and system for supporting geo-augmentation via virtual tagging |
| CN106528633A (en) * | 2016-10-11 | 2017-03-22 | 杭州电子科技大学 | Method for improving social attention of video based on keyword recommendation |
| CN108733706A (en) * | 2017-04-20 | 2018-11-02 | 腾讯科技（深圳）有限公司 | The generation method and device of temperature information |
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2019
- 2019-04-02 CN CN201910261651.9A patent/CN109992720A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140297617A1 (en) * | 2013-03-29 | 2014-10-02 | Broadcom Corporation | Method and system for supporting geo-augmentation via virtual tagging |
| CN103957275A (en) * | 2014-05-19 | 2014-07-30 | 北京奇虎科技有限公司 | Pushing method, client terminal, server and system for user commenting information |
| CN104077377A (en) * | 2014-06-25 | 2014-10-01 | 红麦聚信(北京)软件技术有限公司 | Method and device for finding network public opinion hotspots based on network article attributes |
| CN106528633A (en) * | 2016-10-11 | 2017-03-22 | 杭州电子科技大学 | Method for improving social attention of video based on keyword recommendation |
| CN108733706A (en) * | 2017-04-20 | 2018-11-02 | 腾讯科技（深圳）有限公司 | The generation method and device of temperature information |
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Application publication date: 20190709 |