Sentiment Analysis of Tweets- A Comparison of Classifiers on Live Stream of Twitter
Mohit Wadera, Mukul Mathur, Dinesh Kumar Vishwakarma · 2020
Social media is gaining huge attention in today's era due to its increased accessibility by individuals. Wherein, a mere tweet can reflect upon an individual's right to say and express any sort of political, emotional, intellectual views disregarding the fact of how impactful of an impression it leads on the minds of society. Social media nowadays has become a solid platform for young minds to make an interaction with the outside world without having to understand the consequences. Therefore, it can have its pros and cons. Twitter is one such social media site used by people to ventilate their sentiments by posting messages popularly called "Tweets". The sentiments expressed over tweets can be categorized into positive, negative, and neutral. Thus, our model reflects on the sentiment analysis using NLP and various Machine Learning classifiers. Herein, we have compared various ML classifiers using the dynamic dataset which brings novelty in our findings.