Tweet Sentiment Extraction

Sentiment Analysis can be defined as the process of analyzing text data and categorizing them into Positive, Negative, or Neutral sentiments. Sentiment Analysis is used in many cases like Social Media Monitoring, Customer service, Brand Monitoring, political campaigns, etc. Analyzing customer feedback such as social media conversations, product reviews, and survey responses allows companies to understand the customer's emotions better which is becoming more essential to meet their needs. It is almost impossible to manually sort thousands of social media conversations, customer reviews, and surveys. So we have to use either ML/DL to build a model that analyzes the text data and performs the required operations. The problem I am trying to solve here is part of this Kaggle competition.