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Real-time Sentiment Analysis of Chat Conversations using PySpark

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Twitch-spark

Real-time Sentiment Analysis of Chat Conversations using PySpark

To run the project:

  1. First, you need to run the server.ipynb file. You will see "Server is listening on 127.0.0.1:8081."

  2. Next, run the spark_streaming.ipynb file. Here, you will start seeing the messages, their sentiments, and clusters.

  3. Finally, run the dashboard.ipynb file to see the dynamic visualization.

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Real-time Sentiment Analysis of Chat Conversations using PySpark

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