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Emotion classification method and system

An emotion classification and emotion technology, which is applied in the field of information retrieval, can solve the problems of ignoring emotional information of words and opposite emotional polarity, and achieves the effect of excellent classification effect and cost reduction.

Inactive Publication Date: 2016-07-27
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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AI Technical Summary

Problems solved by technology

However, the existing word vectors perform well in the representation of semantic relations, but ignore the emotional information contained in the words, which is prone to two words that are similar in semantics but express opposite emotional polarities.

Method used

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  • Emotion classification method and system
  • Emotion classification method and system

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Embodiment Construction

[0038] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0039] The invention is oriented to the emotional classification task in the field of information retrieval, can automatically distinguish the emotional information of the content expressed by the user, and facilitates the government to analyze the trend of public opinion in the society, or the enterprise to know the satisfaction degree of the user to its product. For example, when a social event occurs, we use real-time analysis of social network data to understand the attitudes of users in different regions, at different times, and at different ages, so as to guide public opinion in a targeted manner.

[0040] figure 1 It is a structural flowchart of a method and system for emotion classification provided by an embodiment of the present invention. like figure 1 As shown, the method of sentiment classification inclu...

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Abstract

The invention relates to an emotion classification method and system. The emotion classification method comprises the following steps: according to a data flow interface provided by a social network platform, obtaining data with emoticons, and marking the data according to the emoticons; according to a CBOW-emotion dictionary training model, constructing an emotion word vector dictionary by taking the marked data as input; according to provided training data, querying the emotion word vector dictionary, converting the training data into first mathematic vectors, sending the first mathematic vectors into a classifier, and training a classification model; and according to the classification model, performing emotion classification on social network data. According to the invention, texts are represented by emotion word vectors, the word-to-vector process is free from manual intervention, the cost for manually constructing and selecting features by use of a conventional method is decreased, and the classification effect is better than that of the conventional classification method.

Description

technical field [0001] The invention relates to the field of information retrieval, in particular to a method and system for emotion classification. Background technique [0002] With the rapid development of Internet technology and the emergence of social platforms such as Twitter, Facebook, and Weibo, people can express their opinions and comments on social events and corporate products on the Internet, and different users can follow and share with each other. These social network data contain a large amount of emotional information of network users. By analyzing these data, we can grasp the trend of public opinion of the network crowd, thus providing an effective basis for the government and enterprises to make decisions. Among them, sentiment analysis is an important basis for public opinion analysis. Its main task is to determine its emotional category based on network text data by analyzing the emotional polarity and semantic information contained in it, which is usual...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/241G06F18/214
Inventor 徐为群马成龙赵学敏颜永红
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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