Method for performing sentiment classification on network public sentiment of information

Abstract

The invention discloses a method for performing sentiment classification on network public sentiment of information. The method comprises the steps of (1) performing Chinese word segmentation on an article of the network public sentiment of information, (2) inputting the segmented words into a neural network, and (3) calculating the positive and negative aspects of the article and completing the sentiment classification. According to the method, the Chinese word segmentation is performed on the target article of the network public sentiment of information by use of a Chinese word segmentation system and the sentiment classification is performed by use of the neutral network, and the classification effectiveness and the accuracy are high; in short, the method is used for the automatic classification processing of the sentiments of mass network public sentiment of information.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a method for sentiment classification of network public opinion information. Background technique [0002] Internet public opinion, or network public opinion, is a brand-new concept that has gradually surfaced with the development of computer information technology in the past half century and the emergence and popularization of the Internet in the past 20 years. Internet public opinion is formed by the combination of two concepts - Internet (Internet) and public opinion (Public Opinion). [0003] The openness, globality, immediacy, extensiveness, massiveness, interactivity, equality, low cost and multimedia of the Internet and many other characteristics determine that, for ordinary people, the world's every corner of the Internet is within reach. The Internet is the best medium for expression and dissemination of opinions. More and more ordinary people tend to express...

AI Technical Summary

Problems solved by technology

At the same time, if online public opinion emergencies are not handled properly, it is very likely to arouse people's bad emotions, trigger people's violations and radical behaviors, and pose a threat to social stability.

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