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Analysis system of emotional tendency of text

A technology of emotional tendency and analysis system, applied in the field of data network, can solve the problem of low accuracy rate and achieve the effect of improving accuracy rate

Inactive Publication Date: 2015-01-14
ANHUI HUAZHEN INFORMATION SCI & TECH
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Problems solved by technology

Since the tendency of the text is not only determined by polar words, degree words, etc., but also related to the relative position of these words and the relationship with entity words, and text classification can only consider the characteristics of words, so currently text classification is used to The accuracy of some methods for judging the emotional orientation of text is low

Method used

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  • Analysis system of emotional tendency of text
  • Analysis system of emotional tendency of text
  • Analysis system of emotional tendency of text

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Embodiment Construction

[0027] like figure 1 As shown, the embodiment of the present invention proposes a text sentiment analysis system, including: a sample training module 10 for receiving text to be analyzed, training samples, and obtaining a discrimination template; an entity extraction module 20 for extracting text entities to be discriminated, filtering Text that does not contain entities; feature extraction module 30, extracts the tendency-related features (polar words, dimension words, modifiers, negative words, etc.) in the text; emotional tendency recognition module 40, utilizes the maximum entropy method to distinguish the text tendency. In addition, entity dictionaries, polarity dictionaries, dimension dictionaries, modifier dictionaries, and other related dictionaries are established prior to text orientation analysis.

[0028] Wherein, the function of the entity extraction module 20 is as figure 2 As shown, it includes: firstly, preprocessing, which expresses the document set into a f...

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Abstract

The invention discloses an analysis system of emotional tendency of a text. The analysis system comprises a sample training module, an entity extracting module, a characteristic extracting module and an emotional tendency recognizing module. The sample training module is used for receiving texts to by analyzed and training the sample to acquire a discrimination template. The entity extracting module is used for extracting the entities of texts to be discriminated and filtering texts without entities. The characteristic extracting module is used for extracting tendency relative characteristics of the texts. The emotional tendency recognizing module is used for discriminating the tendency of the texts according to maximum entropy method. According to the arrangement, the forums and blogs belongs to the field of the enterprise user are collected, the texts of the webs are extracted, the emotional tendency of the texts and aimed entities are acquired through the analysis system, a chart showing image changes of the enterprise and the competitor is automatically generated, and accordingly the emotional tendency of the text is accurately judged through text classification.

Description

technical field [0001] The invention relates to the technical field of data network, in particular to a text sentiment tendency analysis system. Background technique [0002] In order to analyze corporate and product images for search and competitive intelligence systems, tendency analysis is usually used, and texts are divided into several categories according to the degree of tendency. Since the tendency of the text is not only determined by polar words, degree words, etc., but also related to the relative position of these words and the relationship with entity words, and text classification can only consider the characteristics of words, so currently text classification is used to Some methods for judging the emotional orientation of texts have low accuracy. Contents of the invention [0003] In order to solve the technical problems in the background technology, the present invention proposes a text sentiment analysis system to improve the accuracy of text classificat...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/353G06F40/30
Inventor 贾岩
Owner ANHUI HUAZHEN INFORMATION SCI & TECH
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