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Emotion analysis method and device

An emotion analysis and emotion technology, applied in the field of emotion analysis methods and devices, can solve the problems of lowering the accuracy rate of emotion analysis and less sequence rules, and achieves the effects of easy acquisition, improved accuracy, and solving difficulty in acquisition.

Inactive Publication Date: 2017-04-05
NEUSOFT CORP
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] However, the emotional category labels in the category labeling sequence are manually set, which is not easy to obtain in the current situation where the labeled data is scarce, and the decline in the case of limited or even few emotional category labels will lead to mining There are too few sequence rules, which reduces the accuracy of sentiment analysis

Method used

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  • Emotion analysis method and device

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Embodiment Construction

[0052] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0053] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein can be practiced in sequ...

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Abstract

The invention discloses an emotion analysis method and device, and relates to the technical field of processing of natural languages. By means of the emotion analysis method and device disclosed by the invention, the emotion analysis accuracy rate is increased. The technical scheme in the invention comprises the following steps of: extracting an emotional word sequence from a target text, wherein the emotional word sequence includes sequentially extracted emotional words and non-sememic words; generating an emotional word sequence vector corresponding to the emotional word sequence; according to a pre-set classification model, obtaining an emotional mark corresponding to the emotional word sequence vector of the target text, wherein the corresponding relationship between the emotional word sequence vector and the emotional mark is stored in the pre-set classification model; and taking the obtained emotional mark as an emotion analysis result of the target text. The emotion analysis method and device disclosed by the invention are mainly used for analyzing emotion of the target text.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a sentiment analysis method and device. Background technique [0002] In recent years, sentiment analysis technology has become a hot topic in the field of natural language processing research. The goal of sentiment analysis is to mine the opinions expressed by users and the emotional polarity from the text. Mining the emotional tendency in the text can be used to help other users make decisions. Therefore, sentiment analysis technology has attracted the attention of many researchers in the field of natural language processing and has great application value. [0003] At present, the emotional tendency of the target text is obtained through the tagging sequence rules, that is, the tagging sequence rules are formed based on the emotional category tags of each sentence in the training text and the emotional tags of the training text, and finally the sentiment of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/35G06F40/30
Inventor 王明强齐勇张明亮
Owner NEUSOFT CORP
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