Predicting the future isn't magic, it's Artificial Intelligence.

Project Overview: Twitter Sentiment Analysis helps to understand the user experience of the online retailers based on the tweets, which is important for business development and product enhancement.This a online retailer problem so based on the tweets we are giving the rating of each customer about online shopping experience. Sentiment analysis architecture:  Approach for Twitter sentiment analysis of online retailers: Scraping the tweets: Taking the tweets with respect to online retailers such as ebay, meesho, olx india, flipkart, amazon, jio mart.  After the extraction of the data from twitter, put into the data frame with respect to retailers.  Concatenating the data frame of each retailer into a single data frame.  Converting the data frame to CSV file.  Data preparation and data cleaning: Importing the CSV file using pandas. Analyse & understand the nature of the data.  Tweets are not actual text format, it contains no text characters, writing a function to clean that and pass