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Sentiment analysis method and device of text information

A technology of text information and sentiment analysis, applied in the network field, can solve problems affecting the accuracy of text information sentiment analysis, emotional tendency deviation, etc., and achieve the effect of improving the accuracy of sentiment analysis

Inactive Publication Date: 2017-03-29
NEUSOFT CORP
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the emotional tendency of the text information calculated by the above method will have deviations. Sometimes, although the number of positive emotional words in the text information is greater than the number of negative emotional words, the emotional tendency of the text information is actually negative. This affects the accuracy of sentiment analysis of text information

Method used

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  • Sentiment analysis method and device of text information
  • Sentiment analysis method and device of text information

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Embodiment Construction

[0068] 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.

[0069] Embodiments of the present invention provide a method for sentiment analysis of text information, which can improve the accuracy of sentiment analysis of text information, such as figure 1 As shown, the method includes:

[0070] 101. Extracting each emotional phrase in the text information.

[0071] Among them, the emotional phrase can be composed of emotional words and emotional modifier adverbs. For example, emotional wo...

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Abstract

The invention discloses a sentiment analysis method and device of text information and relates to the technical field of networks, and the sentiment analysis accuracy of the text information can be improved. The method comprises the steps as follows: each sentiment phrase in the text information is extracted, wherein each sentiment phrase comprises a sentiment word and a sentiment modifying adverb; a sentiment orientation intensity value corresponding to each sentiment phrase is calculated according to a sorting combination mode of the sentiment word and the sentiment modifying adverb in the sentiment phrase; and the sentiment orientation intensity value of the text information is determined according to the sentiment orientation intensity value corresponding to each sentiment phrase in the text information and the sentiment orientation of the text information is determined according to the sentiment orientation intensity value of the text information. The sentiment analysis method and device are suitable for sentiment analysis of the text information.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a method and device for sentiment analysis of text information. Background technique [0002] With the vigorous development of network technology, the Internet has increasingly become the carrier of various information in modern society, and gradually advocates "user-centered". A large amount of text information containing user comments has been generated on the Internet, which expresses various emotional colors and emotional tendencies of users, such as joy, anger, sorrow, joy, criticism, praise, etc. Furthermore, potential users can learn about public opinion's views or emotional tendencies on a certain event or product by browsing these subjective comments. [0003] In order to effectively analyze and mine the text information containing user comments and identify its emotional tendency, at present, the emotional words in the text information can be extracted first, and then...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/335G06F16/374G06F40/284G06F40/289
Inventor 王伟
Owner NEUSOFT CORP
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