Prediction Of Product Sales Based On Online Customer...

Prediction of product sales based on online customer reviews using sentiment analysis Priyanka Sharma and Bijith Marakarkandy Department of information Technology, Thakur College of Engineering and Technology, Mumbai Abstract Purpose – Due to their high popularity, Weblogs and other social media sites provide a wealth of information that can be very helpful in evaluating the customers’ sentiments and opinions. It is therefore imperative to analyze them and filter out useful information that could be of economic values to vendors and other interested parties. The purpose of this paper is to examine and analyze online customer reviews about the products and thereby predicting the sales of the products. Design/methodology/approach – This paper employs a sentiment analysis approach by extracting online customer reviews from twitter using twitter API. The extracted reviews have been classified as negative, positive and neutral based on their sentiment polarity and a conceptual model is developed to analyse the customers purchase intentions. Findings – The online customer reviews, both positive and negative, can affect the customers’ opinion about the product. Purchase intentions of the customer after reading the product reviews depends on the factors like customer’s attitude towards the brand and consumer-based brand equity. While consumer-based brand equity and customer’s attitude are directly affected by customer’s persuasiveness for online reviews and priorShow MoreRelatedShopping Cart System Essay876 Words   |  4 PagesOnline purchasing is not entirely a new concept to grasp. It has been lingering in the background ever since the Internet was commercially available to the public. 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