Revealing insights for sales based on analysis of Twitter product reviews
Salama Hasan Shaikh, L. M. R. J. Lobo · 2016
Business Intelligence proves to be extremely useful to a vendor in order to raise the sales and product performance of products. It is an essential aspect to take business conclusions into account. There is massive data on social media that can be exploited to give us useful information. The present paper deals with a system created to exhibit intelligence. This system speculates the sales performance by taking online reviews. The system summons reviews which were posted online on tweeter for particular manufactured goods or services. Dynamic LM Classifier algorithm is used to classify the reviews. Based on the classification of reviews (applying training data) in three groups positive, negative & neutral a PNRatio is computed, considering the positive and negative tweet count. The system envisages the sales performance based upon this PN-Ratio. The system further ranks the classified tweets by their favorite count. This prediction is the underlying principle by which a vendor can improve sales performance.