• Ishan Farooq

Sentiment Analysis is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, where we derive the opinion or attitude of a speaker/writer towards a concept. Sentiment Analysis is one of the most popular applications of Natural Language Processing (NLP), which we can do which in turn leverages Machine Learning (ML) models depending on the implementation of the application and the exact needs. Here in this project, we have tried to computationally determine the positive emotions and negative emotions based towards any concept/person/thing using Sentiment Analysis in real time. The prime objective of this web application is to provide the users who can potentially be anyone from individuals to organizations, freelancers, etc. with the power to easily access the sentiments of people around the world on literally anything be it a product, person, concept, etc. as long as it is being discussed on the widely popular and extensively used social media and micro blogging platform Twitter.

Sentiment Analysis, Real-time, Natural Language Processing, Twitter, Naive Bayes.

"RealSent Realtime Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.244-248, May-2020, Available :http://www.jetir.org/papers/JETIR2005346.pdf

"RealSent Realtime Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp244-248, May-2020, Available at : http://www.jetir.org/papers/JETIR2005346.pdf