Sentiment Analysis with NLP on Twitter Data

Abstract

Every social networking site are generating a huge amount of data in every second.A lots of innovations are coming to the industry to develop new ways of communica- tions between consumer and start-up business opportunity.Sentiment Analysis is the recent research area in data mining.In our work ,we implement the algorithm namely Natural Language Processing(NLP) on social networking data by sentiment analysis.We take twitter as a social networking site and for data analysis takes two product iPhone vs Samsung.Also the comparison between the python built-in library "TextBlob" and Natural Language Processing.The comparison is showing by evaluating the polarity of the tweet as positive and negative towards a particular device.Consumer can be informed their choice according to the general sentiment expression from the other Twitter users on various product.