Microblog emotion analysis method and system in combination with emoticons

A technology of sentiment analysis and sentiment classification, which is applied in unstructured text data retrieval, text database clustering/classification, special data processing applications, etc. It can solve the problems of not considering the mechanism of emoticons on text, and avoid ambiguity problem, the effect of improving accuracy

Active Publication Date: 2017-12-26
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] However, the current three sentiment analysis models using emoji strategies do not consider the mechanism of emoji on the text

Method used

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  • Microblog emotion analysis method and system in combination with emoticons
  • Microblog emotion analysis method and system in combination with emoticons
  • Microblog emotion analysis method and system in combination with emoticons

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Embodiment Construction

[0064] In the following description, for purposes of illustration rather than limitation, specific details, such as specific device structures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0065] Such as figure 1 A schematic flowchart of a microblog sentiment analysis method combined with emoticons provided in Embodiment 1 of the present invention is given. Such as figure 1 As shown, the subject of execution of the method may be a server, and the method includes the following steps:

[0066] Step 1, obtaining the microblog statement to be analyzed, the microblog statement includin...

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Abstract

The invention relates to the field of natural language processing, in particular to a microblog emotion analysis method and system in combination with emoticons. The method comprises the following steps of obtaining a to-be-analyzed microblog statement, wherein the microblog statement comprises a microblog text and at least one emoticon; learning a first characteristic representation of the microblog text by adopting a convolutional neural network method; enabling each emoticon in the at least one emoticon to act on the first characteristic representation by adopting an attention mechanism, thereby obtaining a second characteristic representation; and obtaining an emotion classification result of the microblog statement by adopting the second characteristic representation, and performing output display. According to the method, the text and the emoticons are regarded as two interactive parts, and the cognitive fact of the action of the emoticons on the emotions of the text is simulated by utilizing the emoticon attention mechanism, so that the problem of ambiguity caused by directly taking the emoticons as model characteristics is avoided, the emotion analysis problem in social media can be conveniently handled, and the emotion analysis accuracy is improved.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a microblog sentiment analysis method and system combined with emoticons. Background technique [0002] Microblog has become one of the most important media for people to exchange information, express emotions and opinions, and a large amount of research work has focused on microblog texts, such as public opinion analysis, emergency detection, opinion mining and sentiment analysis, among which sentiment analysis is One of the basic and key topics of microblog research. In order to express emotions and opinions, people use a large number of emoticons in social media such as Sina Weibo and twitter to express users' emotions and opinions, so emoticons have been widely used in sentiment analysis models based on social media . Research in the field of social and cognitive science believes that emoticons are similar to non-verbal components in human communication, such as f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/35G06F40/205
Inventor 姬东鸿钱涛
Owner WUHAN UNIV
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