• Manisha Shinde-Pawar
• Pallavi Jamsandekar

As usage of the social media, internet and E commerce, digital marketing has become gold mine of data for business analytics. Social media like facebook and twitter have given increased and easy access, open platform to informal communications. Every digital moment of life is being captured and analysed through using business models and analytics. Online, real time data and its analysis need application of Sentiment analysis thought to such unstructured data. The Researcher reveals the application of sentiment analysis to unstructured social media data. By applying syntactic context positive and negative classification of demonetization decision related tweets can predict overall sentiments and common concerns of people expressing them on social media. Similarly any administrative or government decision influencing to societal life can be studied for analysis of overall positive or negative attitude towards decision.

Social Media, Unstructured data, syntactic context, Sentiment Analysis, Attitude.

"Sentiment Analysis in Measuring Impact of Demonetization based on Social Media Interaction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.769-774, February-2019, Available :http://www.jetir.org/papers/JETIR1902899.pdf

"Sentiment Analysis in Measuring Impact of Demonetization based on Social Media Interaction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp769-774, February-2019, Available at : http://www.jetir.org/papers/JETIR1902899.pdf