Twitter Sentimental Analysis Using Python

Social media websites have Emerged as one of the platforms to raise users’ opinions and influence way any business is commercialized. Opinion people matters a lot Analysis how propagation information impacts lives in large-scale network like Twitter. Sentiment analysis tweets determine polarity inclination vast population towards specific topic, item or entity. These days, applications such can be easily observed during public elections, movie promotions, brand endorsements many other fields. In this project, we exploited fast memory computation framework 'Apache Spark' extract live perform sentiment analysis. The primary aim provide method for score noisy twitter streams. This paper reports on design analysis, extracting number tweets.