Short text emotional value calculation method based on sentence structure and context

Abstract

The invention relates to a short text emotional value calculation method based on sentence structures and contexts. The method comprises: obtaining any to-be-analyzed text data; performing word segmentation processing on the text data through a Java-based word segmentation program; combined with a string matching algorithm, determining sentence structures of the to-be-analyzed text by computer programming; and making the to-be-analyzed text corresponding to the corresponding sentence structure, calculating an emotional score of each clause; implementing a contextual emotional score of the to-be-analyzed text. Part of the emotional score is an emotional value from comment data appearing before the text, influence on current data is calculated according to the distance from the current data,and the other part is an emotional value produced by the news. Establishment of an emotional dictionary is based on an open-source emotional dictionary, that is, emotional vocabulary noumenon of Dalian University of Technology. The emotional value of the short text is calculated combined with the emotional dictionary. Accuracy of the emotional values calculated by the method is higher, and effectin the field of public opinion analysis will be better.

Description

technical field [0001] The invention relates to natural language processing technology, in particular to a short text sentiment value calculation method based on sentence structure and context. Background technique [0002] The sentiment analysis of text is an important problem in the field of natural language processing, so the calculation of text sentiment value plays a very important role in text sentiment analysis. Especially in recent years, with the vigorous development of social media such as Weibo, sentiment analysis on short texts has been more and more widely used in academic research. [0003] At present, there are mainly two methods for text sentiment analysis, one is the method of machine learning, and the other is the classification method based on rules. The machine learning classification method mainly uses emotional words as classification features, and realizes the text classification according to the emotional dictionary. The main methods are Naive Bayes...

AI Technical Summary

Problems solved by technology

[0005] However, because the semantics of a sentence is affected by the structure of the sentence itself, and is also related to the context of the sentence, at present, there is no method that considers both the structure of the sentence and the context of the sentence. Therefore, the present invention proposes a method based on sentence structure and sentence structure. The calculation method of the emotional value of short texts in context, which considers both the structure of the sentence and the influence of the context on the sentence itself, realizes the calculation of the emotional value of sentences and realizes the emotional analysis of short texts

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