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Research on Several Key Technical Issues in Product Review Identification

Author: ZhangLiang
Tutor: YinYeAn
School: Wuhan Textile University
Course: Applied Computer Technology
Keywords: Product Review Focused Web crawler Set of product attributes Comments units
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 29
Quote: 0
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Abstract


Product reviews is a class of information of great value to the production and sale of commodities. Producers can to improve functionality or improve the quality of product reviews, consumers can use the product review to provide a reference to the purchase decision. However, due to the limitations of current search engine retrieval granularity Comments recognition and emotional tendencies identification function, a lot of comments information by commercial search engines can not be obtained directly, the user needs to do a lot of focus on screening and classification in the result document returned job. On the other hand, the current product reviews emotions tendentious Retrieval taken on the application by means of a general search engine, should be involved to complete reviews retrieval system reviews content characterization retrieval granularity selection, review and Keywords correlation calculation, evaluation unit analysis of difficult problems, has not yet been a systematic solution. In the above context, this paper carried out the research products Comments the emotional tendencies retrieval technology, technical route using a combination of linguistic theory and statistical learning methods to extract from the text of product reviews, product attributes set, extraction and evaluation unit the Comment language tendentious identification and other aspects goal is through a collection of web documents, organized and maintained by a specialized system to provide users with product reviews the emotional tendencies retrieval service, made the following research: first, a Product Review emotional tendencies retrieval model. By considering the product, the subjective nature of the comments and polar analytes comments retrieve the key elements proposed a special retrieval model for product reviews, to avoid the two-stage method used in traditional subjective content retrieval technology laid a theoretical foundation for systematically improve Comments retrieval performance. The model uses a set of product attributes and comments language set to expand the query, and short text as the search and retrieval more reasonable size, can better characterize Comment. Second, the proposed acquisition of a set of product attributes. Containing product attributes of product attributes and characteristics of network text analysis, the page is divided into three types of review and summary of the type and form type, use the pages of guidance learning classifier page data classification, and then define The template extraction affiliation, the final properties of the different sources of data consolidation summary set of attributes of the product. Finally, on the basis of the key technologies involved, build product reviews experimental system of emotional tendencies retrieval retrieval to the given product name or model reviews, press comments object and polarity subtotals returned to the user.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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