Industry comment data fine grain sentiment analysis method

A sentiment analysis, fine-grained technology, applied in electrical digital data processing, special data processing applications, natural language data processing, etc., can solve the problems of poor analysis results, rough sentiment analysis results, etc. The effect of good results and improved results performance

Active Publication Date: 2015-01-07
中科嘉速(北京)信息技术有限公司
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Problems solved by technology

[0005] The present invention aims at the problem that the analysis result of the existing non-supervised model is poor, the field is highly pertinent, and the sentiment analysis result used is rough, and proposes a fine-grained sentiment analysis me

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  • Industry comment data fine grain sentiment analysis method
  • Industry comment data fine grain sentiment analysis method

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Embodiment Construction

[0031] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0032] There are two types of fine-grained analysis, one at the sentence level and the other at the aspect level. Since a sentence of a product review often includes evaluations on multiple attributes, such as "good quality, beautiful appearance, but very expensive", the fine-grainedness in the technical solution of the present invention is aimed at the fine-grainedness of the attribute hierarchy.

[0033] The present invention conducts fine-grained sentiment analysis on e-commerce industry comment data in a non-supervised manner, and proposes an improved topic model method that introduces hidden variables, adopts 1-gram and 2-gram methods to respectively establish industry sentiment dictionaries, and uses Chinese word segmentation technology and named entity recognition technology extract the entity features in the comments, conduct fine-grained sent...

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Abstract

The invention relates to an industry comment data fine grain sentiment analysis method. The industry comment data fine grain sentiment analysis method is applied to Internet data analysis and comprises obtaining comment data of e-commerce industry goods and preprocessing the comment data; establishing initial industry sentiment word libraries and computing distribution of words under different sentiment polarities through 1-gram and 2-gram; performing Chinese word segmentation on the comment data; based on the sentiment word libraries established through the 1-gram and the 2-gram, utilizing combined sentiment models to perform word modeling to obtain the probability distribution of the words which belong to different topics under different sentiment distributions; utilizing context information to re-determine the sentiment alignment of sentiment words in sentences; performing named entity identification and extracting comment characteristics through conditional random fields to compute the sentiment alignment of comment words of the comment characteristics. The industry comment data fine grain sentiment analysis method computes the sentiment of the comment words through the two dimensions of topic and sentiment to achieve fine grain sentiment analysis on the industry comment data, thereby achieving high precision and interpretability of analysis results.

Description

technical field [0001] The invention belongs to the field of Internet data analysis, and relates to a sentiment analysis technology of comment data, in particular to a method for fine-grained sentiment analysis of industry comment data. Background technique [0002] With the advent of the era of big data, more and more information appears in the form of crowdsourcing through the collective wisdom of netizens, and more and more people like to exchange their opinions online, so a large number of information including Tendency review information, such as Douban movie reviews, book reviews, and product reviews on e-commerce websites. Merchants hope to obtain the emotional tendencies contained in these electronic information through information processing methods, so as to obtain consumer feedback and modify market decisions. For example, before purchasing an electronic product, people hope to know other people's evaluation of the product, what are the advantages and disadvantag...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/9535G06F40/242
Inventor 邓攀袁伟余雷闫碧莹赵鑫万安格
Owner 中科嘉速(北京)信息技术有限公司
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