Chinese text emotion recognition method

A technology of emotion recognition and text, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of low accuracy of emotion analysis of Chinese text, and achieve the effect of improving accuracy

Inactive Publication Date: 2014-03-26
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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Problems solved by technology

[0004] The present invention proposes a text emotion recognition method, which is us...

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Embodiment Construction

[0045] The following describes the implementation steps of the present invention in detail with reference to the drawings.

[0046] 1. Corpus preprocessing

[0047] Read in the text to be processed in batches, perform segmentation processing in units of chapters, and mark the serial number of each paragraph and the text content of each paragraph. Perform sentence processing for each paragraph of the text, record the paragraph number and sentence number of each sentence, and use grammatical analysis tools for syntactic analysis to obtain the dependency relationship between words in the sentence. Perform word segmentation for the content of each sentence to obtain each word. With the help of part-of-speech tagging tools, identify the part-of-speech of each word, count the number of times each word appears in the article, and calculate the word frequency of each word.

[0048] 2. Build a dictionary

[0049] First, build a dictionary containing commendatory and derogatory words. Based o...

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Abstract

The invention discloses a Chinese text emotion recognition method which includes the steps of (1) respectively building a commendatory-derogatory-term dictionary, a degree-term dictionary and a privative-term dictionary, (2) carrying out term-segmentation processing on sentences of a Chinese text to be processed, and obtaining dependence relationships and term frequency of terms, (3) selecting subject terms according to the term frequency, and signing the sentences containing the subject terms as subject sentences, (4) judging whether the terms in the subject sentences exit in the commendatory-derogatory-term dictionary, determining emotion initial values of the terms, determining modifying degree terms and privative terms of the terms according to the dependence relationships of the terms, then determining the weights of the terms according to values of the modifying degree terms in the degree-term dictionary, determining polarities according to the number of the privative terms, obtaining the emotion values of the terms, then summing the emotion values of all the terms of the subject sentences, and obtaining the emotion values of the subject sentences, and (5) summing the emotion values of all the sentences in the text, and obtaining the emotion state of the text. According to the Chinese text emotion recognition method, the emotion recognition accuracy rate of the text is greatly improved.

Description

Technical field [0001] The invention belongs to the field of information technology, and relates to a method for text sentiment analysis, which is mainly applied in the fields of natural language processing, data mining, information retrieval and the like. Background technique [0002] With the rapid development of the Internet and the rapid increase in the number of users, more and more users are willing to share their opinions or comments on certain events or products on the Internet. Therefore, a large amount of subjective and emotional information has emerged on the Internet. The opinions in the information, analysis and utilization, and timely monitoring of online public opinion have become the focus of recent research. For the massive Chinese text information on the Internet, relying solely on manual processing methods can no longer meet the requirements and it is difficult to respond in time. Computers are urgently needed to quickly obtain and analyze and process informati...

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Application Information

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IPC IPC(8): G06F17/27
Inventor 崔现鹏汪海燕黎建辉崔建业
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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