• Pallavi Kakde
• Prof. V. A. Losarwar

In recent years, because of the popularity of social networking has drastically expanded and the tremendous information being delivered by the Social media like Facebook, Twitter. Twitter one of the biggest social media website gets a huge number of tweets each day on a variety of important issue. In this paper for handling the huge data, we have used the Hadoop and Apache Flume and Hive to analyze the sentiment. We take the real-time tweets on demonetization using tweeter streaming API and store the tweets in Hadoop using tweet agent. Hive is query language to the transformation of semi-structured and with the help of dictionary we classified tweets into 3 constraints positive, negative and neutral

Hadoop,HIVE, Semi Structured, Flume, Twitter, Social Media

"SENTIMENT ANALYSIS ON TWITTER DATA OF THE DEMONETIZATION OF 500 AND 1000 RUPEE NOTES USING THE FLUME & HIVE ON HADOOP FRAMEWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.84-90, November-2018, Available :http://www.jetir.org/papers/JETIR1811B12.pdf

"SENTIMENT ANALYSIS ON TWITTER DATA OF THE DEMONETIZATION OF 500 AND 1000 RUPEE NOTES USING THE FLUME & HIVE ON HADOOP FRAMEWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp84-90, November-2018, Available at : http://www.jetir.org/papers/JETIR1811B12.pdf