Microblog comment data classification method and system
A microblog comment and data classification technology, applied in text database clustering/classification, electronic digital data processing, text database query, etc., can solve the problems of low classification accuracy and low classification efficiency
Active Publication Date: 2021-01-15
YANSHAN UNIV
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Problems solved by technology
Therefore, the current microblog comment data classification method still has the problems of low classification accuracy and low classification efficiency.
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[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0066] The purpose of the present invention is to provide a method and system for classifying microblog comment data, which are used to quickly and accurately classify and intercept microblog comments, and then maintain a good Internet environment.
[0067] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying ...
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The invention discloses a microblog comment data classification method and system. The method comprises the steps of performing word segmentation processing on to-be-classified microblog comment datato obtain to-be-classified word segmentation texts; processing the to-be-classified word segmentation text by adopting the trained Word2Vec model to obtain a to-be-classified word vector; performing weight calculation on the word vectors to be classified by adopting a TFIDF algorithm to obtain multi-dimensional word vectors to be classified; inputting the multi-dimensional word vectors to be classified into the trained MultiLSTM model to obtain a classification result of the microblog comment data to be classified, wherein the trained MultiLSTM model is formed by sequentially connecting a trained first BiLSTM layer, a trained second BiLSTM layer, a trained LSTM layer and a trained full connection layer. According to the invention, the microblog texts can be accurately and quickly classified, the microblog comments can be intercepted, and the internet environment can be better maintained.
Description
technical field [0001] The invention relates to the field of computer natural language processing text classification, in particular to a microblog comment data classification method and system. Background technique [0002] With the rapid development of modern technology and network technology, online comments are becoming more and more popular, but this also provides opportunities for some people to spread negative public opinion, causing negative public opinion to spread rapidly like a virus on the Internet. Among them, the instant, convenient, and fast dissemination characteristics of Weibo have further promoted the development of Internet public opinion. Many comments published in the form of pictures or text on Weibo involve a large amount of bad information and spread rapidly, which largely caused a waste of network resources. Therefore, text classification for network public opinion analysis is a hot issue to be solved urgently. [0003] Text classification can effe...
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Login to View More IPC IPC(8): G06F40/289G06F40/30G06F16/33G06F16/35G06K9/62G06N3/04
CPCG06F40/289G06F40/30G06F16/353G06F16/3344G06N3/049G06N3/044G06F18/214
Inventor 刘浩然庞娜娜李晨冉
Owner YANSHAN UNIV