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Sentiment analysis of tweets. Uses Twitter API to extract the tweets, loads data into MongoDB, and makes sentiment analysis after extraction.

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neatcoder/Twitter-SentimentAnalysis

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Twitter sentiment analysis

Project was undertaken at Dalhousie University as a deliverable for course CSCI5408. The project is aimed to provide a sentiment analysis of the tweets extracted from the Twitter stream API. The tweets are marked negative/positive/neutral, by matching them against a set of keywords.

Python scripts have been used to

  • Connect to Twitter API.

  • Extract Tweets, clean and store into MongoDB collection.

  • Extract from MongoDB.

  • Perform sentiment analysis

  • Date Created: November 14, 2020

  • Version: 1

  • Location: Dalhousie University, Halifax

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Sentiment analysis of tweets. Uses Twitter API to extract the tweets, loads data into MongoDB, and makes sentiment analysis after extraction.

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