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Entity identification method based on Weibo emotion

A technology of entity recognition and emotion, applied in the direction of instruments, calculations, electrical digital data processing, etc., can solve problems such as limited understanding and help for people, and achieve good results and high recognition accuracy

Inactive Publication Date: 2016-02-17
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

Most sentiment analysis only divides text sentiment into three categories: positive, middle and negative. If this kind of coarse-grained sentiment analysis is directly applied to social media such as Weibo, it will be of limited help to people’s understanding, and it is not enough to truly listen to the social pulse. The Purpose of Social Emotional Listening

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  • Entity identification method based on Weibo emotion
  • Entity identification method based on Weibo emotion

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Embodiment Construction

[0039] In order to make the present invention's technical means, creative features, goals and effects easy to understand, the present invention will be further elaborated below in conjunction with specific embodiments.

[0040] The data in Weibo is huge, and relying on manual methods to classify it will cost a lot of manpower, material and financial resources. Therefore, the Hashtag provided in Weibo is used as the emotion of the Weibo. We believe that if a microblog is marked with the label of the emotion category, the microblog belongs to the emotion category.

[0041] A microblog emotion-based entity recognition method includes the following steps:

[0042] Step 1. In the training phase, select the optimal machine learning algorithm;

[0043] Step 1.1 constructs four types of emotional word dictionaries according to the Circumplex ring emotion model; the four types of emotional word dictionaries are mapped into a two-dimensional coordinate system, and the coordinate axes of ...

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Abstract

The invention provides an entity identification technology based on Weibo emotion. The entity identification technology comprises the steps that Weibo data are acquired through an api collection technology and preprocessed, wherein a Circumplex annular emotion model is used as an emotion analysis model, and four kinds of emotion keyword dictionaries are generated; Weibo data are acquired through the API collection technology, preprocessing is conducted on data and vectorization is conducted on a data set, learning and training are conducted through four machine learning algorithms, quintuplicate cross validation is conducted, and classification is conducted on the new data set through a selected optimal machine learning classification program; finally, entity extraction is conducted on the classified data.

Description

technical field [0001] The invention relates to the field of collection and analysis of big data in the network, in particular to an entity recognition method based on microblog emotion. technical background [0002] In China, since Weibo is a new social media platform that has only been developed in recent years, domestic research on sentiment analysis of short texts on Weibo started relatively late. In the earlier research, three scholars, Ye Qiang, Zhang Ziqiong and Luo Zhenxiong, based on the widely used N-POS language model, carried out the feature extraction of Chinese phrases, and proposed the Chinese two-word subjective phrase model 2-POS, which is a Chinese character text The emotional recognition of the content lays the foundation. After that, Xu Jun used machine learning methods such as naive Bayesian and maximum entropy to carry out text sentiment mining and classification. The research results showed that the use of machine learning methods in emotion-based Chi...

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Application Information

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IPC IPC(8): G06F17/27
Inventor 崔晓辉朱卫平张威风杨威王志波李伟
Owner WUHAN UNIV
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