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Emotion analysis method for Chinese texts based on computer information processing technology

A sentiment analysis and computer technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as low accuracy and achieve high-precision results

Inactive Publication Date: 2015-10-07
CENT SOUTH UNIV
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Problems solved by technology

However, product reviews in Chinese text are oriented to multi-semantic and multi-rule Chinese. When using machine learning to automatically analyze their sentiments, the accuracy of the selected or extracted features is often not high.

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  • Emotion analysis method for Chinese texts based on computer information processing technology
  • Emotion analysis method for Chinese texts based on computer information processing technology
  • Emotion analysis method for Chinese texts based on computer information processing technology

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Embodiment Construction

[0021] Concrete realization process of the present invention is as follows:

[0022] Step 1: Extract 1706 review texts in the Chinese review corpus related to electronic products from Datatang, including 853 positive reviews and 853 negative reviews.

[0023] Step 2: Carry out Chinese word segmentation for these 1706 comment texts using the precise pattern in Jieba word segmentation, and judge the part of speech. Remove stop words and define part-of-speech filtering rules. The definition of part-of-speech filtering rules is:

[0024] a. Establish a set of part-of-speech tendencies that express emotions: {nouns, adjectives, adverbs, and conjunctions},

[0025] b. Determine the part of speech of each word in the comment. If the part of speech of a word is not in the part of speech set, delete the word, otherwise keep the word.

[0026] Step 3: Use the bag-of-words model in natural language processing. If the word appears in this comment, set it to 1, otherwise set it to 0, wh...

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Abstract

The invention discloses an emotion analysis method for Chinese texts based on computer information processing technology. Comments on Chinese products are subjected to word segmentation. By utilizing a bag-of-words model, vector representations of product comments are generated. The vector of every comment is inputted to a visible unit of a limited Boltzmann machine (RBM) in deep learning. Sentimental characteristics of Chinese texts are extracted by the RBM and the extracted emotional characteristics are inputted to a SVM for text emotion classification. The emotion analysis method for the Chinese texts based on computer information processing technology is capable of improving relevance of emotional semantics of characteristics while the SVM is capable of improving accuracy of emotion classification of comments on Chinese products.

Description

technical field [0001] The invention relates to natural language processing technology, in particular to a Chinese text emotion analysis method based on computer information processing technology. Background technique [0002] With the rapid development of the Internet and e-commerce, people are more and more fond of shopping online and expressing their opinions and views on a certain product online. Sentiment analysis is a hot research field in artificial intelligence. Its goal is to enable the computer to extract the author's emotional tendency towards the evaluation object, that is, positive or negative, from the subjective text generated by the user. Positive refers to the user’s love for the product, and they have a positive and positive attitude towards the product; Negative refers to the user’s negative attitude towards the product due to some defects or dissatisfaction in the product . [0003] At present, the main methods for sentiment analysis of online commodity...

Claims

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Application Information

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IPC IPC(8): G06F17/27
Inventor 高琰晁绪耀
Owner CENT SOUTH UNIV
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