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personal project to pull live Twitter data using Nifi getTwitter processor and pushes to Kafka topic which is then consumed by a Spark Streaming application where basic sentiment analysis is performed and the final result is stored in elastic search for visualization using Kibana.

Scala 100.00%
sentiment-analysis twitter elasticsearch spark scala nifi etl kafka twitter-api kibana

twitter-sentiment-analysis's Introduction

Twitter-Sentiment-Analysis

In this project, using Nifi as a data ingestion tool, I have pulled live twitter tweets from Twitter API and pushed to Kafka topics which is then consumed by a Spark Streaming application. Basic sentiment analysis is performed on the data using Stanford NLP library and final result are stored in HDFS and MySQL. Also the results are pushed to Elasticsearch to perform visualization using Kibana. alt text

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