In this project, I have built a data pipeline that first collects tweets from New York Times, and stores them in a database. Next, the sentiment of tweets is analyzed and the annotated tweets are stored in a second database. Finally, the tweet texts and their corresponding sentiment scores are published on Slack at a finite time interval.
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rahman-rakib/Twitter_Sentiment_Analysis
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Implementation of a data pipeline that collects tweets, analyzes their sentiments, and publishes the annotated tweets on Slack in real time, utilizing two steps of database storage
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