Product comment analyzing method and system with learning supervising function

A supervised learning and product review technology, which is applied in the fields of data mining and natural language processing (NLP), can solve problems such as the difficulty of quantitative evaluation, and achieve accurate classification results and accurate classification results

Inactive Publication Date: 2016-05-04
FUDAN UNIV
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  • Abstract
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Problems solved by technology

However, it is very difficult to manually read all the review information, and then further summarize the quantita

Method used

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  • Product comment analyzing method and system with learning supervising function
  • Product comment analyzing method and system with learning supervising function
  • Product comment analyzing method and system with learning supervising function

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Experimental program
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Embodiment Construction

[0046] figure 1The review data in is scraped from the relevant product pages, breaking all reviews into short sentences with punctuation bit separators. After feature mapping and emotion classification in turn, each short sentence is assigned a corresponding feature label and emotional tendency label, and finally the label data of all comments are summarized to make a quantitative evaluation.

[0047] The structural diagram of a product review real-time analysis system example proposed by the present invention is as follows figure 2 shown.

[0048] The final effect is shown as Figure 4 As shown in the figure, the length of each "progress bar" corresponds to the percentage of positive comments under the comments of this feature, and the specific numbers are given on the right. Thus, the user can determine the general evaluation tendency of a certain aspect of the product in the review.

[0049] A simulated example given a system instance is as follows:

[0050] We assume...

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Abstract

The invention belongs to the data mining and natural language processing technical field, specifically a product comment analyzing method and system with learning supervising function. According to the method, multiple categories (product features) are artificially defined aiming at a specific product; firstly, product feature aspect classification is carried out to collected user comments by a machine learning and training classifier successively; then emotion analysis is carried out to the comment texts classified by a training classifier; and finally quantitative comments on each feature of the product are summarized for a user through comprehensively counting the product features related to a great deal of comment texts and corresponding emotional tendencies. The method and the system of the invention are relatively efficient, rapid, simple and convenient; the classified contents are all user concerned contents; the analysis result is provided to the user visually and clearly; and the work of viewing a great deal of comments can be removed.

Description

technical field [0001] The invention belongs to the technical field of data mining and natural language processing (NLP), and in particular relates to a product review analysis method and system with supervised learning. Background technique [0002] With the popularity of the Internet, electronic consumption has become a very important aspect of the Internet activities of the majority of Internet users in recent years. Consumers enjoy the convenience brought by the Internet. While consuming online, they also leave a large number of comments. These review information mainly include consumers' evaluations and opinions on selected commodities or services, and are of important reference value for merchants and other consumers. E-commerce companies can further improve their services and improve product quality through consumer feedback; other consumers can also make their own choices based on other customers' feedback and evaluations when they cannot touch physical products in ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35G06F2216/03
Inventor 顾晓东顾怡炜吴海兵
Owner FUDAN UNIV
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