• Anshuman Sahoo
• Balaji Kharat
• Devansh Gupta
• Sameer Inamdar

With the progression of web innovation and its development, there is an enormous volume of information present in the web for web clients and a ton of information is created as well. Web has turned into a stage for internet getting the hang of, trading thoughts and imparting insights. Informal communication locales like Twitter, Facebook, Google+ are quickly acquiring prevalence as they permit individuals to share and communicate their perspectives about points, have conversation with various networks, or post messages across the world. There has been lots of work in the field of sentiment analysis of twitter information or some other online media information. In the proposed system we are mainly focuses mainly on sentiment analysis of farmer protest and using various algorithms like Support Vector Machine (SVM), Random Forest (RF) and KNN.

Farmer Protest, Sentimental Analysis, Support Vector Machine (SVM), Random Forest (RF) and KNN, Dataset.

"A Survey Paper on Sentimental Analysis on Nation-wide Protest using Social Network Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.a748-a751, December-2021, Available :http://www.jetir.org/papers/JETIR2112090.pdf

"A Survey Paper on Sentimental Analysis on Nation-wide Protest using Social Network Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppa748-a751, December-2021, Available at : http://www.jetir.org/papers/JETIR2112090.pdf