Exploring the opinions of people on GST tweets from different cities.
Now a day's people are extensively using the social networking apps such as twitter, face book, etc to give their views or thoughts on anything and everything. Examining on these opinions is the major research trend, this work will help to realize the people views, opinions and this study will help to go further decisions. For examining or exploring the the opinions, techniques like NLP and ML is used to differentiate between the emotions such as positive, negative and neutral opinions. It is very tedious task to read the input text data given by the user in social media applications. Here proposed a novel bounded logistic regression with the GST data sets taken from different cities of India. Results of the approached technique give the good accuracy.