Skip to content

Latest commit

 

History

History
17 lines (13 loc) · 507 Bytes

README.md

File metadata and controls

17 lines (13 loc) · 507 Bytes

Sentiment Analysis of COVID-19 Tweets

Team Members

  1. Ujjwal Jain
  2. Divya Mohan
  3. Shakthivel Ramesh Nirmala
  4. Saumil Shah

Problem Statement

The given challenge is to build a classification model to predict the sentiment of Covid-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done. We are given information like Location, Tweet At, Original Tweet, and Sentiment.

Steps Involved

  1. Data Preprocessing
  2. Vectorization
  3. Classification Models
  4. Evaluation