• U. Teja
• A. M. Sowjanya

The large amount of data is been generated on social media every day. Analyzing such data would provide valuable insights about the users posting the data and also about the data itself. Twitter is one of the biggest platform where users post tweets about everything and anything. We have scraped tweets about iPod and summarized them. Then we have implemented a rule-based model for analyzing sentiment on the summarized data. After classification of sentiment into positive, negative or neutral, sentiment scores and sentiment strengths are calculated to provide the overall sentiment. In this paper we have utilized Vader for performing sentiment analysis.

Twitter, Sentiment analysis, Sentence level sentiment analysis, rule-based sentiment analysis, Vader

"A Rule Based Model For Sentiment Analysis Of Twitter Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.916-921, June 2019, Available :http://www.jetir.org/papers/JETIR1907584.pdf

"A Rule Based Model For Sentiment Analysis Of Twitter Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp916-921, June 2019, Available at : http://www.jetir.org/papers/JETIR1907584.pdf