Twitter Sentiment Analysis(with Deployment) · A Twitter Sentiment analysis Project which will scrap twitter for the topic selected by the user. • The extracted tweets will then be used to determine the Sentiments of those tweets. • The di?erent Visualizations will help us get a feel of the overall mood of the people on Twitter regarding the topic selected. • The Extracted Tweets data is first cleaned , filtered , unwanted words are deleted and the Sentiment Analysis is done on the clean data using the TextBlob Library. • The Project has been Deployed here : Link : https://twitter-sentiment-analysis07.herokuapp.com/ · Also wrote a Blog for step by step explanation about this project. From Data collection to Deployment. Link : https://abhishekdarekar.medium.com/live-twitter-sentimentanalysis-with-deployment-e4a84f826b92
- Our Goal was to Create an API where the user will Enter a Topic, which we will search on Twitter and Extract tweets related to that Topic.
- We will then do sentiment Analysis on the extracted tweets and classify them into Positive, Negative, Neutral.
- Further, we will provide visualizations so the Data could be further analyzed by the user.