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-# twitter_sentiment_analysis
+# Twitter Sentiment Analysis Using Big Data Frameworks and NLP
 Analyzing Sentiment and Trends from about 1 million tweets obtained from Twitter (rebranded as X)
+
+Conducted comprehensive research, implemented advanced analytics, EDA focused on user interaction data in the data sets of 1 million tweets, offering strategic recommendations for engagement optimization. Managed NoSQL (JSON) data from API sources, handling 125 feature columns in the data.
+Leveraged Python (numpy and pandas) data driven analytics to analyze market trends, NLP techniques and VertexAI Workbench to forecast sentiment analysis on 350,000 unique tweets.