Competitive Product Identification and Sales Forecast Based on Consumer Reviews
نویسندگان
چکیده
Sellers readily obtain consumer product evaluations from online reviews in order to identify competitive products detail and predict sales. Firstly, we collect review data shopping websites, social media, communities, other platforms competitors with the help of word-frequency cooccurrence technology. We take mobile phones as an example mine analyze competition information. Then, calculate quantity, emotion value, product-network heat, price statistics establish regression model forecasts. In addition, neural-network is established suggest that relationships among factors are linear. On basis analyzing discussing impact sales competitors, price, emotional value reviews, popularity, construct forecast model. Finally, verify validity factor analysis affecting rationality model, actual used further showing reasonable effective.
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2021
ISSN: ['1026-7077', '1563-5147', '1024-123X']
DOI: https://doi.org/10.1155/2021/2370692