دانلود مقاله انگلیسی رایگان:بررسی ترجیحات مصرف کننده در طرح های محصول با تجزیه و تحلیل نظرات شبکه های اجتماعی با استفاده از استدلال مشهود - 2020
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  • Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning
    Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning


    ترجمه فارسی عنوان مقاله:

    بررسی ترجیحات مصرف کننده در طرح های محصول با تجزیه و تحلیل نظرات شبکه های اجتماعی با استفاده از استدلال مشهود


    منبع:

    Sciencedirect - Elsevier - Computers & Industrial Engineering, 139 (2020) 106180: doi:10:1016/j:cie:2019:106180


    نویسنده:

    C.Y. Nga,⁎, Kris M.Y. Lawb


    چکیده انگلیسی:

    The rapid growth of e-commerce and social networking sites has created various challenges for the extraction of user-generated content (UGC). In the era of big data, customer opinions from social media are utilized for investigating consumer preferences to support product redesigns. Opinion mining, including the various automatic text classification algorithms using sentiment analysis is a capable tool to deal with a large amount of comments on the social networking sites. In which, sentiment analysis is used to determine the contextual polarity within a comment by searching sentimental words. However, the inconsistency on choosing the sentiment words leads to the inaccurate interpretation of the opinion strength of sentiment words. An approach to summarize the UGC from social networking media using fuzzy and ER without the need to review all the comments is proposed in this paper. The inaccuracy on determination of the polarity of sentiment words and corresponding opinion strengths is rectified by fuzzy approximation and ER. The result is presented in ranking therefore the effort for result interpretation significantly reduced. The incorporation of sentiment analysis with ER to analyze the UGC for product designs is a new attempt in investigating consumer preferences. The proposed approach is shown to be handy, sufficient, and cost effective for the product design and re-design, particularly in the preliminary stage. This project can be further extended by employing alternative fuzzy approximate techniques in the fuzzy-ER approach to support the sentiment analysis to enhance the accuracy of sentiment values for determining the distribution assessments of ER.
    Keywords: Opinion mining | Sentiment analysis | Evidential reasoning | Consumer preferences | Product design


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 11
    حجم فایل: 1323 کیلوبایت

    قیمت: رایگان


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