Fine-grained sentiment analysis system and method specific to product comment information

A product review and sentiment analysis technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of lack of product review information sentiment analysis, lack of judgment results to re-learn, time-consuming and human resources, etc., to achieve Reduce manual labeling, increase value and authenticity, and save time

Active Publication Date: 2013-07-17
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0008] The existing sentiment analysis technology mainly has the following deficiencies: A) The granularity of sentiment analysis is relatively large, and it only makes analysis and judgment on the emotional tendency of the entire sentence or the entire article. The more fine-grained information causes the loss of a large amount of valuable information in the text, and the information contained in the text cannot be fully utilized; B) the existing few entity-level sentiment analysis technologies separate the identification of entities and the judgment of emotional orientation It is carried out as two independent steps, ignoring the connection between entity recognition and emotional tendency judgment, so that the final joint accuracy is not high; C) It is necess

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  • Fine-grained sentiment analysis system and method specific to product comment information
  • Fine-grained sentiment analysis system and method specific to product comment information
  • Fine-grained sentiment analysis system and method specific to product comment information

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[0020] Specific implementation plan

[0021] According to the attached Figure one Zhang Zhang explains in detail, and introduces the sentiment analysis algorithm and the model used. In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0022] figure 1 The architecture diagram of the fine-grained sentiment analysis system for product information of the present invention is shown.

[0023] Reference figure 1 The sentiment analysis system of the present invention includes a user interface, a product review information crawling module, a product review information training sample database, a dictionary database, a text preprocessing module, a dictionary loading module, a feature extraction module, an sentiment analysis model training module, and an sentiment analysis module , Administr...

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Abstract

The invention discloses a fine-grained sentiment analysis system and method specific to product comment information. The system comprises a user interface, a product comment information training sample data base, a loading module of relevant dictionaries such as sentiment dictionaries, a text preprocessing module, a characteristic extraction module, a sentiment analysis model training module, a sentiment tendency judging module and a feedback module. A user can store and manage various tagged product comment information training samples and perform processes of sentence segmentation, word segmentation, part-of-speech tagging, syntactic analysis and the like by means of the system. The user can also add user-defined sentiment dictionaries to perform characteristic extraction and vectorization on well processed text information, train sentiment analysis models and use the sentiment analysis models to perform sentiment tendency judgment on vectorized text information. The system feeds sentiment analysis results back to the user to support the user to correct and store the analysis results.

Description

technical field [0001] The invention relates to the field of sentiment analysis of Chinese text, in particular to an entity-level fine-grained sentiment analysis system and method for product review information. Background technique [0002] Product review information generally refers to comments or opinions expressed by users or consumers on a certain product or a certain attribute of the product. These comment information often have a strong subjective emotional color, which reflects the user's subjective feelings about the product or a certain attribute. [0003] On the one hand, with the vigorous development of Web2.0, Internet users have changed from passively receiving Internet information to actively creating Internet information; on the other hand, the rapid development of e-commerce has changed people's shopping habits, starting from offline to online, The popularity of online shopping has brought about the rapid expansion of such product review information. These ...

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Application Information

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IPC IPC(8): G06F17/27G06Q30/02
Inventor 蔡瑞初郝志峰王鸿飞温雯杜慎芝
Owner GUANGDONG UNIV OF TECH
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