Chinese interactive text emotion and topic identification method based on multitask learning

A multi-task learning and topic recognition technology, applied in the field of Chinese interactive text emotion and topic recognition based on multi-task learning, can solve single and other problems

Active Publication Date: 2016-01-20
XI AN JIAOTONG UNIV
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Problems solved by technology

[0004] At present, patents related to the project, such as "A method for online detection of microblog hot events based on sentiment analysis" (CN201310403005.4) have been authorized, which extracts sentiment from online microblog texts through sentiment analysis, and then realizes online real-time detection The purpose of publishing hot events on Weibo, but this patent does not combine the characteristics of e-Learning interactive text, which is relatively simple

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  • Chinese interactive text emotion and topic identification method based on multitask learning
  • Chinese interactive text emotion and topic identification method based on multitask learning
  • Chinese interactive text emotion and topic identification method based on multitask learning

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Embodiment Construction

[0066] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0067] Chinese Interactive Text Sentiment and Topic Recognition Framework Based on Multi-task Learning

[0068] refer to figure 1 As shown, for the supervised learning method, the Chinese interactive text emotion and topic recognition framework based on multi-task learning of the present invention includes the following four parts:

[0069] 1) According to the needs of different tasks, manually label the categories of training samples. It is necessary to label the emotion category of the dataset used for emotion classification, and label the topic category of the dataset used for topic classification;

[0070] 2) According to the different purposes of different tasks, feature extraction is performed on the data set of each task;

[0071] 3) Construct a multi-task learning model using datasets labeled with emotion and topic categories;

[0072] 4...

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Abstract

The present invention discloses a Chinese interactive text emotion and topic identification method based on multitask learning. In a feature extraction stage of a Chinese interactive text, the Chinese interactive text emotion and topic identification method combines an interaction feature of the Chinese interactive text to extract an orientation feature of the interactive text; in the emotion and topic identification stage, the Chinese interactive text emotion and topic identification method adopts a context-based multitask classification model construction method to perform multitask classification model construction on a training sample of the interactive text; and aiming at the problem of poor classification effect caused by missing of orientation feature data of new users or inactive users in an e-Learning system, the Chinese interactive text emotion and topic identification method adopts a method combining random walk and multitask learning to identify emotion and topic categories of the new users or inactive users.

Description

technical field [0001] The invention relates to a method for recognizing emotion and topic of Chinese interactive text, in particular to a method for recognizing emotion and topic of Chinese interactive text based on multi-task learning. Background technique [0002] With the rapid development of Internet technology, E-Learning is quickly accepted by people with its advantages of "resource sharing" and "anytime, anywhere", but it also has its own shortcomings. Separation, lack of emotional communication and feedback, teachers cannot grasp students' learning dynamics in real time, and it is difficult to give comprehensive and comprehensive learning evaluations to students. In the e-Learning system, how to discover learners' emotions, adjust learners' negative emotions, and identify topics that learners are interested in has become a current research hotspot. [0003] At present, there are many methods for emotion and topic recognition of text, but compared with traditional t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
Inventor 刘均包洪英张玲玲
Owner XI AN JIAOTONG UNIV
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