• Satyam Gupta
• Riya Sharma
• Rani Kumari
• Archith. R. A, Ankit Paul
• Dr. M.S. Nidhya

The advent of web technology and its growth has brought a large volume of data present on the internet for the people using it, and huge amounts of information is being generated. The net is becoming a platform where people can learn online, exchange ideas, and share opinions. Social networking sites like LinkedIn (US), Instagram (US), and Twitter (US) are swiftly gaining recognition from people from all corners of the world. This is because these sites permit people to express and share their views about various subjects. They do so by making posts on these social media websites. These opinions are often as simple as making an observation about the weather or complex essays about how they feel about the newest MacBook. When an opinion gains traction and is liked or shared thousands of times, we understand that plenty of individuals resonate with the post and therefore, the opinion. Thus, if a person or an entity wants to understand the general opinion of the public before making a career or marketing decision, they can do so by analysing the posts on social media. In this paper, we are using Twitter as the social media platform to decode the user's opinion regarding the topic of data science, and extract the user’s sentiment in a logical and structured manner.

Opinion Mining, Analysing Sentiments, Data Science Field, Social Media.

"Sentiment Analysis Using Twitter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.334-337, June-2022, Available :http://www.jetir.org/papers/JETIRFM06059.pdf

"Sentiment Analysis Using Twitter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp334-337, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06059.pdf