• Ashish Soni
• Shweta Shah
• Harsha Solanki

Sentiment analysis is the task to classify a short paragraph of text is being positive or negative. Sentiment analysis is a task that becoming recently important for many companies. Because the merchant subscriptions on social media like twitter, facebook and other side get their product reviews. If the company wants to track tweets about their brand to command over the impact on time or many website analyze the comments on their articles. This will helps them to track comments and impact. So the sentiment analysis is an automated system that collects and analyzes the content and generates the desire results. This paper proposed a sentiment analysis system for twitter posts. Proposed system will work on real time tweets. System is also designed in such a way that this can analyze data related to any topic. Python programming language is used to extract tweets form twitter feeds. Proposed system also calculates the level of sentiments. That how much negative or positive are tweets. This paper also presented some real time results analysis.

Keywords: Sentiment analysis, python, tweepy, API, machine learning. Lexicon and NLP.

"“Design and Implementation of a Generalized Real Time Sentiment Analysis System on Tweeter Data Using Bag of words method through Natural language Processing”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.463-469, June-2018, Available :http://www.jetir.org/papers/JETIR1806188.pdf

"“Design and Implementation of a Generalized Real Time Sentiment Analysis System on Tweeter Data Using Bag of words method through Natural language Processing”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp463-469, June-2018, Available at : http://www.jetir.org/papers/JETIR1806188.pdf