Emotion analysis method and apparatus, computer readable storage medium and electronic device
A sentiment analysis and emotion technology, applied in the field of sentiment analysis, can solve problems such as difficult sharing of models
Active Publication Date: 2018-06-22
NEUSOFT CORP
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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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[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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The present disclosure relates to an emotion analysis method and apparatus, a computer readable storage medium, and an electronic device. The method comprises: acquiring a first word segment set of ato-be-analyzed corpus; syntactically analyzing the first word segment set by using a syntax analysis model to obtain a relationship between each word segment in the first word segment set; according to the relationship between each word segment, and a preset emotion lexicon, determining emotion words of the to-be-analyzed corpus and objects of the emotion words; and according to the emotion wordsand the objects, querying a three-dimensional emotion dictionary to determine the emotion type of the to-be-analyzed corpus, wherein the three-dimensional emotion dictionary comprises a correspondencerelationship among the emotion word, the object of the emotion word, and the emotion type. According to the technical scheme of the present disclosure, different emotion types that may be representedwhen the same emotion word is corresponding to different objects can be accurately determined, a one-sided result of single determination performed according to the emotion words can be effectively avoided, and the accuracy of the emotion analysis can be effectively improved.
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...
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IPC IPC(8): G06F17/27
CPCG06F40/279G06F40/30
Inventor 刘嘉伟崔朝辉赵立军张霞
Owner NEUSOFT CORP