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S-ANFIS: Sentiment aware adaptive network-based fuzzy inference system for Predicting Sales Performance using Blogs/Reviews

An organization has to make the right decisions in time depending on demand information to enhance the commercial competitive advantage in a constantly fluctuating business environment. Therefore, predicting the future quantity for the next period most likely appears to be crucial. This work presents a comparative forecasting methodology regarding to uncertain customer likings in a movie domain via regressive and neuro fuzzy techniques. The main objective is to propose a new future predicting mechanism which is modeled by artificial intelligence approaches including the comparison of both auto regressive method and adaptive network-based fuzzy inference system (ANFIS) techniques to manage the fuzzy demand with incomplete information. The effectiveness of the proposed approach to the demand forecasting issue will be demonstrated using real-world data from a different movie related websites. Here we are going to extract the information from web and utilizing it for the purpose of sales prediction for movies. There are many sales prediction methods but the use of history data will be most efficient way to predict the quality future.