This project analyses the sentiment level of any product and plots the total percentage of tweets which were liked and hated,along with various levels between them using social media data

In this repository we extract different language text from image using tessaract-ocr and pytesseract and translate text into other language using textblob.

Twitter Sentiment Analysis https://twittersentimentanalysisfront.herokuapp.com/

performing simple functions on textblob

✅ Spell Correction with MLOps project utilizes machine learning techniques to automatically correct spelling errors in text side by side.