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Basic twitter sentiment analytics is performed using Apache Spark Streaming API's. Real time tweets data stream is processed. Apace Kafka is used as queuing service for data streams.

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satvikshetty04/Twitter-Sentiment-Analysis

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Twitter Sentiment Analysis

Project completed as part of the ADBI 591 course at NCSU.

Note: If you are a student at NC State and have come across this while googling for help in an assignment, please make sure you have made your professor aware that you have used this as a reference. Blindly copying without citing your source is a case of plagiarism.

  • Performed basic sentiment analysis on real time tweets using the Twitter Stream API
  • Used Apache Kafka to buffer the tweets before processing and then classified them into Positive/Negative tweets
  • Technologies used: Python, Apache Spark Streaming, and Apache Kafka

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Basic twitter sentiment analytics is performed using Apache Spark Streaming API's. Real time tweets data stream is processed. Apace Kafka is used as queuing service for data streams.

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