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Microblog sentiment classification method and system based on syntactic analysis

A sentiment classification and syntactic analysis technology, applied in text database clustering/classification, character and pattern recognition, instruments, etc., can solve the problems of sparse sentiment features and poor classification effect, and achieve high classification accuracy and good classification effect. Effect

Active Publication Date: 2022-07-19
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

The present invention effectively uses the syntactic dependency relationship to extract the emotional features of short microblog texts, and then expands the features with the help of an external emotional lexicon, effectively solving the defect of poor classification effect caused by the sparse emotional features of short microblog texts

Method used

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  • Microblog sentiment classification method and system based on syntactic analysis
  • Microblog sentiment classification method and system based on syntactic analysis
  • Microblog sentiment classification method and system based on syntactic analysis

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Embodiment Construction

[0070] In order to understand the above objects, features and advantages of the present invention more clearly, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0071] The present invention provides a microblog sentiment classification method and system based on syntactic analysis. The method effectively utilizes syntactic dependencies to extract sentimental features from short texts of microblogs, and then performs feature expansion with the help of sentiment thesaurus, which effectively solves the problem of short texts on microblogs. The sparseness of this feature leads to the defect that the sentiment classification effect is not good.

[0072] In order to achieve the above purpose of the invention, the present invention provides such figure 1 The following technical solutions are shown:

[0073] The invention provides a microblog sentiment classification method based on syntactic analy...

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Abstract

A microblog sentiment classification method based on syntactic analysis, comprising: S1: acquiring short texts of microblogs for sentiment analysis, labeling text categories according to sentiment polarity, and dividing them into training set and test set; S2: separately classifying the training set Perform data preprocessing with the test set; S3: Perform dependency syntax analysis on each sample after preprocessing, and construct a feature thesaurus combined with the external sentiment feature dictionary; S4: According to the pre-built sentiment feature thesaurus, separate the training set and test set Perform feature expansion on the initial feature set of the set, and use TFIDF to calculate the feature weight of each feature word and quantify the text; S5: Train a Bayesian classifier according to the expanded training sample set, according to the Bayesian The classification model performs classification operations on the expanded test samples to obtain the microblog sentiment classification results. The invention also includes a microblog emotion classification system based on syntax analysis.

Description

technical field [0001] The invention relates to the technical field of Chinese short text classification, in particular to a method and system for classifying microblog sentiments based on syntax analysis. Background technique [0002] As one of the most popular social software in contemporary times, Weibo has a user base of hundreds of millions since its development. Due to the fast release speed and wide dissemination of Weibo information, it has become the most popular social network platform. On Weibo, everyone can speak freely, post some life news and opinions on current affairs, news and entertainment gossip, and at the same time, they can quickly obtain the information we want to know. The high efficiency and real-time nature of Weibo dissemination not only brings us convenience, but also brings some negative and negative impacts to the society. [0003] Sentiment analysis of short texts of microblogs focuses on judging the positive and negative emotional tendencies ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/33G06F16/951G06F40/211G06F40/242G06F40/289G06K9/62
CPCG06F16/35G06F16/3344G06F16/951G06F40/211G06F40/289G06F40/242G06F18/24155
Inventor 季白杨郑晓辉
Owner ZHEJIANG UNIV OF TECH
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