Author Details

Use python web crawler to collect data from Trade website. The collected data is down jacketinformation. The fields are shell material, structure type, filling material, process information and style information. This information can be used for data mining, using clustering algorithms, correlation algorithms, etc. to identify potential value, providing decision-making reference for the management of textile andgarment enterprises, with strong practical value. This paper provides a new idea for the development of textile and garment enterprises. The employees of the company screen, deal with the missing data and standardize thedata, and then conduct data mining. The management of the enterprise makes decisions based on the results of data mining to improve decision-making basis and correctness.

Keywords

K-Means Clustering Algorithm, Decision-Making, Intelligent Recommendation System.

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Research on Online Review Based on LDA Subject Model

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Authors

Guo Tao ¹, Wu Shi-qi ¹, Shi Yi-Cheng ¹, Ma Qian-Qian ¹, Tang Zhi-hang ¹

Affiliations
1 School of Computer and Communication, Hunan Institute of Engineering Xiangtan 411104, CN

Source

International Journal of Advanced Networking and Applications, Vol 12, No 3 (2020), Pagination: 4606-4612

Abstract

The text topic analysis is the core element of the comprehensive review of clothing products, which can directly understand the views and consumption trends of consumer groups, taking a brand clothing store in JD.com as the research object, by using Python crawler and HANLP natural language processing technology, seven of the top-selling fashion reviews were classified and analyzed. Word frequency statistics, TF-IDF and other methods were used to quantify the text, this paper uses the visualization techniques such as word cloud graph contrast, pyLDAvis dynamic model and Sankey graph to display customers’ attention points and real shopping needs from various angles. The experimental results show that the visual results of online review research based on the theme model of Lda can clearly show the advantages and disadvantages of customer-centered evaluation and clothing, and provide important reference for merchants to improve decision-making and optimize service.

Keywords

Clothing Review; Natural Language Processing; Topic Mining; Visualization.

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