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Asynchronous pipeline project that uses reactive programming to process the news in real-time and analyze the sentiment of the news using NLP

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News Sentiment Analysis (Using NLP)

Asynchronous pipeline project that uses reactive programming to process the news in real-time and analyze the sentiment of the news using NLP.

Analyze the sentiment of news that is related to a specific topic and check what the public opinion about them.

Technologies And Tools

  • Backend - Java, Spring Boot, Spring WebFlux (reactive programming),
  • Database - Redis
  • Message Broker - Kafka (In order to handle fast and big streams of data)
  • Docker (To run Kafka and Redis containers)
  • NLP - Stanford CoreNLP library

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Asynchronous pipeline project that uses reactive programming to process the news in real-time and analyze the sentiment of the news using NLP

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