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

With the advancement of web innovation and development, there is an amazing volume of information available on the web for web customers, as well as a tremendous amount of information being created. The internet has evolved into a platform for learning, sharing ideas, and transferring knowledge. Informal communication sites like Twitter, Facebook, and Google+ are swiftly gaining popularity because they allow people to discuss and communicate their opinions on numerous topics, converse with other networks, and send messages all over the world. There has been a lot of research done in the field of sentiment analysis of twitter or other online media data.

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

"An Implementation 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.9, Issue 5, page no.c486-c490, May-2022, Available :http://www.jetir.org/papers/JETIR2205361.pdf

"An Implementation 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.9, Issue 5, page no. ppc486-c490, May-2022, Available at : http://www.jetir.org/papers/JETIR2205361.pdf