Production Prediction based on News using Sentimental Analysis

Abstract

In the current scenario, market is changing with a drastic rate. In such a phase taking right decision at right time with respect to organization benefits is a challenging task. Industries are indented to fulfill customers need and the news plays a vital role to change the sentiments of the targeted customers. News from the online sources is mined and combined with sentiment analysis to produce the best suitable suggestions. The recommendation then given to the production based companies to speed up or speed down the production so that they could take the optimum benefits from the market. The association analysis is performed to show the words which are contextually associated with each other. The news article and its complete analysis is performed and verified.