Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Sentiment analysis engine based on fine-granularity attributive classification

A technology of attribute classification and analysis engine, applied in the field of Weibo and WeChat comments on the Internet, which can solve the problems of heavy labeling workload and few resources, etc.

Inactive Publication Date: 2015-09-09
上海玻森数据科技有限公司
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the characteristics of few resources of fine-grained emotional labeling corpus and heavy labeling workload, there are problems such as workload in the actual development process, and there are deficiencies

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sentiment analysis engine based on fine-granularity attributive classification
  • Sentiment analysis engine based on fine-granularity attributive classification
  • Sentiment analysis engine based on fine-granularity attributive classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to make it easy to understand the technical means, creative features, objectives and effects achieved by the present invention, the present invention will be further explained below in conjunction with the drawings and specific embodiments.

[0047] The emotional analysis engine based on fine-grained attribute classification proposed in the present invention adopts the maximum entropy model. The algorithmic idea of ​​the emotional polarity intensity quantification method of the system: first use the existing emotional dictionary to calculate Find out the emotional tendency value of each word; then use the emotional tendency value of the word to design a corresponding formula to calculate the emotional tendency value of the word; the steps are as follows:

[0048] First, count the weight of each word as a positive word and a derogatory word in the emotional dictionary,

[0049] P ci = fp ci / X j = 1 n fp cj fp ci / X...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a sentiment analysis engine based on fine-granularity attributive classification. An adopted model is a maximum-entropy model. An algorithm thought of a sentiment polarity intensity quantitative method of the system comprises the following steps: firstly, utilizing a traditional sentiment dictionary to calculate a sentiment tendency value of each word through a method of word frequency statistics; and then, utilizing the sentiment tendency value of the word to design a corresponding formula so as to calculate the sentiment tendency value of the word. The sentiment analysis engine is suitable for the MicroBlog, the WeChat and the like on the Internet, calculates a PMI (Purchase Management Index) value by aiming at a possible situation that a sentiment word lacks of object attributes so as to determine an association probability between an evaluation object attribute class and the sentiment word, realizes a purpose that a reasonable attribute class is assigned to sentiment information which lacks of the evaluation object attribute, and enables sentiment summarization calculation to be more reasonable and effective and is better in perception performance.

Description

Technical field [0001] The present invention relates to the technical field of network microblog and WeChat comments, and in particular to an emotion analysis engine based on fine-grained attribute classification. Background technique [0002] At present, similar to emotional words, the description of the attributes of the evaluation object is also diverse. The same type of object attribute can be expressed in multiple languages. Although these words are different, the meaning and concept of the description are basically the same. Before fine-grained emotion computing works, the evaluation object must determine the attribute category to facilitate emotion summary statistics. Therefore, attribute classification is very important for fine-grained sentiment analysis, and it is difficult to achieve effective attribute classification in practical applications. Therefore, how to effectively and correctly classify attributes is the primary task of fine-n-grained emotion calculation and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30
Inventor 李臻纪敏
Owner 上海玻森数据科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com