Sentiment Analysis On Twitter Data

Data Mining

Now-a-days Millions of people are sharing their views daily on micro blogging sites, it contains short and simple expressions. In this paper, we will discuss about a perspective to extract the sentiment from a Twitter, where users post their opinions for everything. we are going to concentrate on twitter, which is a micro blogging site. Many people tweet their feeling on twitter. In this project , we are going to analyze the tweets made by people. And determine their happiness. We are going to do sentiment analysis on this twitter data. These messages or tweets are classified as positive, negative or neutral with respect to a expression. This is very useful for the companies who want to know the feedback about their product brands or the customers who want to search the recommendation from others about product before purchase. We will use natural language toolkit processing algorithms for classifying the sentiment of Twitter messages We are going to make a web based UI application. Which will show the data and crawl through live feeds.

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