Sentiment analysis method, apparatus, computer-readable storage medium, and electronic device

A technology of sentiment analysis and emotion, applied in the field of sentiment analysis, can solve problems such as difficult sharing of models, achieve the effects of improving accuracy, wide application range, and avoiding one-sided results

Active Publication Date: 2021-09-24
NEUSOFT CORP
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Problems solved by technology

In addition, in the process of machine learning, different learning and training are generally carried out for different fields, making it difficult to share models in different fields.

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  • Sentiment analysis method, apparatus, computer-readable storage medium, and electronic device
  • Sentiment analysis method, apparatus, computer-readable storage medium, and electronic device
  • Sentiment analysis method, apparatus, computer-readable storage medium, and electronic device

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Embodiment Construction

[0074] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0075] figure 1 As shown, is a flow chart of a sentiment analysis method provided according to an embodiment of the present disclosure. Such as figure 1 As shown, the method includes:

[0076] In S11, a first word segmentation set of the corpus to be analyzed is acquired, wherein the first word segmentation set may be a set obtained after the corpus to be analyzed is segmented by a word segmentation system.

[0077] In S12, syntactic analysis is performed on the first set of word segments by using the syntactic analysis model to obtain the relationship among the respective word segments in the first set of word segments.

[0078] In an embodiment, a synta...

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Abstract

The present disclosure relates to a sentiment analysis method, device, computer-readable storage medium, and electronic equipment. The method includes: obtaining a first participle set of a corpus to be analyzed; performing syntactic analysis on the first participle set through a syntactic analysis model, To obtain the relationship between each participle in the first participle set; according to the relationship between each participle and the preset emotional lexicon, determine the emotional word of the corpus to be analyzed and the object of the emotional word; according to the The emotion words and the objects query a three-dimensional emotion dictionary to determine the emotion type of the corpus to be analyzed, wherein the three-dimensional emotion dictionary includes the correspondence among emotion words, objects of the emotion words, and emotion types. Through the above technical solution, it is possible to accurately determine the different emotion types that the same emotion word may represent when corresponding to different objects, effectively avoid the one-sided result of a single judgment based on the emotion word, and effectively improve the accuracy of emotion analysis.

Description

technical field [0001] The present disclosure relates to the field of sentiment analysis, and in particular, to a sentiment analysis method, device, computer-readable storage medium, and electronic equipment. Background technique [0002] Sentiment analysis is a type of analysis that analyzes, classifies, organizes, and infers text or words with subjective emotional color. At present, the commonly used sentiment analysis methods are mainly divided into the following two types: [0003] (1) Method based on emotion word matching. The method based on sentiment word matching generally needs sentiment lexicon and negative lexicon. Emotion lexicon generally contains subjective emotions, such as "good", "excellent", "dirty" and so on. Negative dictionaries generally reverse emotions, such as "no", "non", "no", "no", etc. However, the method of matching emotional words only matches the words that appear in the corpus without considering the semantic information of the entire cor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/30G06F40/279
CPCG06F40/279G06F40/30
Inventor 刘嘉伟崔朝辉赵立军张霞
Owner NEUSOFT CORP
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