ETL Pipeline for Text Processing Using Social Media Data

This workflow automates the extraction, transformation, and loading (ETL) of social media data, specifically tweets, to derive sentiment analysis and facilitate language translation. It begins by querying Twitter for tweets containing the hashtag #OnThisDay, allowing users to capture relevant historical posts that can be analyzed for sentiment. The tweets are then stored in a PostgreSQL database for efficient data management and retrieval. Once the tweets are collected, they are inserted into a