Project Overview [Video]

Working on Twitter sentiment analysis through Machine Learning is a popular and interesting project. Sentiment Analysis is a Machine Learning technique that helps in finding whether a particular text is ‘Bad’ or ‘Good’.

Examples of Sentiment Analysis

– Determining whether a particular Tweet (now ‘X’) is ‘Good’ or ‘Bad’ where bad represents a Racist, Sexist or malicious Tweet.

– Determine whether a particular Movie Review or Product Review is ‘Good’ or ‘Bad’.

– Determine whether a particular News Item is ‘Political’ or ‘Non-Political’ or belongs to any other category depending on a certain context. 

In this Project of ‘Twitter Sentiment Analysis’, we will create a Machine Learning Model to determine whether or not a Tweet is ‘Good’ or ‘Bad’. We will use a number of NLP Techniques to process the Twitter Data and subsequently use the Logistic Regression Model to achieve our objective.