• D.I. HIMAN
• Smt. M. PADMA

Social networks are the most resources to collect data regarding people’s opinion and sentiments towards totally different topics as they pay hours daily on social medias and share their opinion. Twitter is currently became one in every of the most effective social media platforms that's utilized by billions of individuals to share their expressions and opinions. Twitter offers organizations a quick and effective way to analyze customers' views toward the important to success within the market place. In this paper, we tend to show the application of sentimental analysis and the way to connect to Twitter and run sentimental analysis queries using IBM Watson Twitter Live Dashboard. We tend to run experiments on totally different queries from politics to humanity and show the fascinating results. We tend to realized that the neutral sentiment for tweets are considerably high that clearly shows the restrictions of the present works. We've got conducted a case study on tweets regarding the happiness based on the reactions of individuals round the world with analysis on the time and origin of the tweets.

Streaming processing, Big Data, Twitter, Real-time, IBM Watson,PubNub

"Sentimental Analysis Using Twitter Live Dashboard", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.504-508, August-2018, Available :http://www.jetir.org/papers/JETIR1808074.pdf

"Sentimental Analysis Using Twitter Live Dashboard", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp504-508, August-2018, Available at : http://www.jetir.org/papers/JETIR1808074.pdf