Prediction of Business Trend Using Sentiment Analysis on Social Media’s Data

Abstract

Social media is the largest platform to share opinion. This opinion has a great effect on business field. Because this opinion analysis will tell about one thing how much positive, negative or natural the human demand on it. Currently for Business sentiment analysis research is noticeably large, inclusive of a range of supervised studying method of classification outcome and the text characteristics depiction formula and feature choice implementation and other elements effect on the classification performance is a big problem. Sentiment analysis is research natural language processing and opinion mining. In this paper deliver an ideal decision-making process for data using predictive analysis to social media data and different types of blog data. Machine learning provides

a concepted approach for developing sophisticated and automatic algorithms to analyze high- dimensional and multimodal business analytical data. This study focuses on how social media data,

machine learning algorithm (Naive Bayes) and classifier find out our upcoming trend.