Abstract:
People nowadays use various social platforms and video-sharing mediums to
communicate their emotions, ideas, Viewpoints, and Proposals. On Twitter, Facebook,
and other social media platforms, there are numerous discussions about sports,
particularly cricket as well as football. The viewpoint may communicate detraction in
various ways, using notation that may include numerous polarities such as positive,
negative, or neutral, and understanding the sentiment of each opinion is a difficult and
time-consuming effort even for humans. This challenge can be solved by using natural
language processing to analyze sentiment in relevant comments (NLP).[8] In NLP tasks
such as sentiment analysis, supervised machine learning classifiers are commonly utilized.
We created a dataset of real people's attitudes about cricket in Bangla text in three
divisions: positive, neutral, and negative. then processed by removing superfluous terms
from the dataset.
