Method for performing emotional tendency classification to microblog by using emoticons

Abstract

The invention discloses a method for performing emotional tendency classification to microblog by using emoticons. The method comprises the following steps: building a neutral emotion set, a passive emotion set and a positive emotion set; building a neutral emotion Bayes classifier by using the neutral emotion set, the passive emotion set and the positive emotion set; building a polar emotion Bayes emotion classifier by using the passive emotion set and the positive emotion set; performing emotion classification to the microblog by using the neutral emotion Bayes classifier and the polar emotion Bayes classifier. According to the method for performing emotional tendency classification to microblog by using emoticons, two sections of classification is built, namely, building the neutral emotion classifier to remove the microblog with neutral emotion, and building the polar emotion classifier to divide the microblog with the polar emotion into the passive emotion and the positive emotion; the classifier is rapid in classifying speed, small in occupied space and robust; attitude of people to current hot topics or events and emotion of net citizens can be accurately understood through the microblog, so that the method for performing emotional tendency classification to microblog by using emoticons has important help for social scientific research and survey.

Description

technical field [0001] The invention relates to a method for classifying the emotional tendency of microblogs by using emoticons. Background technique [0002] Weibo has now become the most dazzling emerging interactive platform on the Internet, widely accepted and actively participated by users, and its application value is quickly recognized. According to the "29th Statistical Report on Internet Development in China" released by CNNIC on January 16, 2012, by the end of December 2011, the number of Internet users in China had exceeded 500 million, and the number of Weibo users had reached 250 million. The proportion of Internet users using Weibo increased from 13.8% in 2010 to 48.7% at the end of 2011, and Weibo increased by 296.0% compared with the end of the previous year. More than 240 million users can generate more than 1,000 microblogs per second. It took only one year for Weibo to become an important Internet application used by nearly half of Chinese Internet user...

AI Technical Summary

Problems solved by technology

In addition, Weibo is also very open, and most of the content on Weibo is public, which means that anyone who enters Weibo can see all of anyone's public Weibo, so in Weibo The amount of information available on the

[0003] Because there are not enough word co-occurrences and sparse features in short texts such as Weibo, traditional classification methods such as "word bag method" cannot work well on short texts.

Images