• Amanpreet Kaur
• Akshay V

Nowadays social media being the center of attention for all the reasons, the micro-blogging social networking platform Twitter allows users to share their views and opinions with a maximum length of 140 characters. The way these tweets help the analysts to analyze them to make the business effective is incomparable. This could be seen by the number of frequent words used to analyze the sentiment of tweets which precisely describe the emotions of the people on what they tweet about the particular information. The analysis is all about to visualize, plot a graph and understand the emotion of the tweet. The important objective of the paper work was all about to carry out the twitter data analysis and understand the emotions of the tweet using sentiment analysis. With Twitter developer allows to extract the tweets real-time, there was no need of using the tweets dataset to analyze. Twitter Developer account permits the usage of access tokens to load the tweets real time when called upon. All the necessary packages were loaded beforehand to ensure that there were no mis happening during the analysis. Package named twitter provides the access to the twitter API. For this visualization, there is a requirement of twitter developer account and R platform to perform the analysis. [1]

Twitter API, twitteR, Sentiment.

"Sentiment Analysis of Twitter Hashtag Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.256-260, October 2018, Available :http://www.jetir.org/papers/JETIRDQ06036.pdf

"Sentiment Analysis of Twitter Hashtag Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp256-260, October 2018, Available at : http://www.jetir.org/papers/JETIRDQ06036.pdf