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User interaction intention recognition method and system based on speech act theory

A recognition method and behavior technology, applied in the field of user interaction intention recognition based on speech act theory, to achieve the effect of high recognition accuracy and wide application range

Inactive Publication Date: 2017-09-12
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the above problems in the prior art, that is, to solve the problem of identifying various types of interaction intentions, the present invention provides a user interaction intention identification method based on speech act theory

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  • User interaction intention recognition method and system based on speech act theory
  • User interaction intention recognition method and system based on speech act theory
  • User interaction intention recognition method and system based on speech act theory

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Embodiment Construction

[0055] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0056] The present invention proposes an interactive intention recognition method based on the speech act theory, defines the user intention recognition problem in social media as a multi-classification problem, regards the user's expression as an intention behavior, and classifies it according to its pragmatic function.

[0057] Speech act theory is an important branch of pragmatics. The speech act theory was first established by Austin (How to do things with words, 1962), which proposed that words can not only convey information, but also implement behaviors. Searle (Expression and meaning: studies in the theory of speech acts, 1976) further...

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Abstract

The invention relates to a user interaction intention recognition method and system based on a speech act theory. The user interaction intention recognition method comprises the steps of constructing a behavior discourse marker dictionary based on an external knowledge source; automatically labeling the intention of an online text input by a user on a social media platform according to the behavior discourse marker dictionary; using an automatic tagged corpus to train a classifier based on features and conduct classified recognition on the intention of the online text to determine the interaction intention category of the user. According to the user interaction intention recognition method based on the speech act theory, by constructing the behavior discourse marker dictionary corresponding to different intention categories based on the external knowledge source, automatically labeling and expanding the corpus based on the behavior discourse marker dictionary, and conducting recognition on feature classification, the interaction intention of the user in a social media can be effectively recognized, the recognition accuracy is high, the user interaction intention recognition method and system can be used for intention analysis and recognition in the field of business intelligence, social situations, comment situations, decision evaluation and the like, and thus the application range is wide.

Description

technical field [0001] The present invention relates to the technical field of intention recognition in computer science, and more specifically, to a user interaction intention recognition method and system based on speech act theory. Background technique [0002] Mining and analyzing the intention of user interaction behavior has very important application value in the fields of social public security, business intelligence, social opinion and public opinion. With the continuous development and growth of social media (Weibo, Twitter, Facebook, etc.), people are more and more inclined to share their personal experiences, express their opinions, and express their wishes through social media, and thus generate a large amount of user-generated content. These contents contain rich and diverse valuable information. Among them, interaction intentions widely exist in user discussions on social media. Analyzing and identifying users' interaction intentions can provide information fo...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27G06K9/62
CPCG06F16/35G06F16/374G06F40/211G06F40/30G06F18/24765G06F18/22
Inventor 崔宸熙刘春阳曾大军赵志云张旭李雄王萌王磊
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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