Method for generating emotion abstract of dialogue text

A text and emotion technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems that are not processed well and affect the effect of dialogue text emotion summary, and achieve the effect of saving manpower and material resources and improving accuracy

Inactive Publication Date: 2014-03-05
ZHANGJIAGANG INST OF IND TECH SOOCHOW UNIV
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Problems solved by technology

Although these features have been mentioned in existing research, they have not been well dealt with, which greatly affects the effect of dialogue text sentiment summarization.

Method used

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  • Method for generating emotion abstract of dialogue text
  • Method for generating emotion abstract of dialogue text

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Embodiment Construction

[0033] As mentioned in the background technology, sentiment summarization has been paid more and more attention in the field of sentiment analysis. Most of the existing sentiment summaries focus on the research of comment corpus, and the generation of sentiment summaries still needs to be done manually, which greatly affects the Efficiency of sentiment summarization generation. On the other hand, in the dialogue text, due to its own particularity, the sentiment summarization of the dialogue text has become a difficult research point.

[0034] Therefore, the present invention discloses a method for generating dialogue text sentiment summaries, which is used to solve the problem that a large amount of manpower, material resources, or low precision are required in the generation of dialogue text sentiment summaries in the prior art. Automatic generation of sentiment summaries provides a research direction.

[0035] The technical solution of the present invention will be introduc...

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Abstract

A method for generating an emotion abstract of a dialogue text includes the steps of constructing feature vectors, comprising word characteristics and emotion characteristics, of various sentences in the dialogue text; calculating similarity of the vectors by the adoption of a revised cosine similarity algorithm and then calculating the transition probability of the sentences according to the similarity; calculating weight values of the sentences through a PageRank algorithm, carrying out sorting according to the weight values and selecting the sentences with large weight values and of the number according with a preset number to form the emotion abstract of the dialogue text at last. According to the method, the abstract does not need to be generated manually, manpower and material resources are saved, and meanwhile precision for generation of the emotion abstract of the dialogue text is improved.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a method for generating dialogue text sentiment summaries. Background technique [0002] Since the 21st century, with the rapid development of the Internet, people are increasingly expressing their opinions and emotions on the Internet. Such texts often exist in the form of commodity reviews, forum comments, and blogs, and most of the texts can be well reflect people's views and opinions. It takes a lot of time, manpower and material resources to analyze the emotional information in these massive texts by artificial methods. Attention has great application value. [0003] In most of the existing sentiment analysis, the main focus is on the review corpus. And summarization is also applied to various fields, such as: news articles, scientific articles, and speech fields, including broadcast news, conferences, dialogues, and speeches. However, there are relatively few ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/21
Inventor 李寿山林莉媛王中卿周国栋
Owner ZHANGJIAGANG INST OF IND TECH SOOCHOW UNIV
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