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Contextual sentiment classification method and classification system based on user comment text

A technology of user comments and emotion classification, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to identify emotional tendencies and reduce classification accuracy, and achieve accurate feature selection and improve The effect of classification accuracy and good emotional tendency

Active Publication Date: 2018-04-10
TSINGHUA UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, previous sentiment classification methods pay little attention to the extraction of semantic features in text, which reduces the classification accuracy and cannot well identify the user's emotional tendency in the text.

Method used

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  • Contextual sentiment classification method and classification system based on user comment text
  • Contextual sentiment classification method and classification system based on user comment text
  • Contextual sentiment classification method and classification system based on user comment text

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Embodiment Construction

[0027] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0028] In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0029] In the present invention, unless otherwise clearly specified...

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Abstract

The invention discloses a context emotion classification method and a classification system based on user comment texts, wherein the method includes the following steps: acquiring multiple user comment texts; performing word segmentation on the multiple user comment texts; and segmenting the word-segmented multiple user comments The text is trained to obtain the candidate feature set; the effective features are extracted from the candidate feature set according to the context structure features to obtain the training set; the classification model is trained according to the training set to classify the sentiment of user comment text through the classification model. The method of the embodiment of the present invention extracts effective features through the context structure features, realizes emotion classification, improves the classification accuracy, and better recognizes the user's emotional tendency in the text, which is simple and convenient.

Description

technical field [0001] The invention relates to the technical field of computer application to the Internet, in particular to a context emotion classification method and classification system based on user comment texts. Background technique [0002] In recent years, driven by emerging Internet elements such as forums, blogs, e-commerce, and Weibo, more and more users are accustomed to expressing their opinions and feelings on these online platforms. However, a problem that comes with it is that there are more and more users on the Internet, and the number of user comments is also increasing explosively, making it difficult to analyze and summarize only by manpower. In particular, there are often thousands of comments on popular products on large e-commerce websites. For users, it is unrealistic to browse these comments completely, and browsing a small amount of information will lead to biased conclusions, which cannot be obtained. The public's comprehensive evaluation of t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 徐华
Owner TSINGHUA UNIV
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