Live tweets from Twitter are streamed continuously using Kafka. After preprocessing and extracting text from the tweets, sentiment analysis is performed using TextBlob as well as Vader sentient analysis. The results are then stored in elasticsearch. Different visualizations are also created using Kibana.
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Live sentiment analysis of tweets using Kafka
Topics
elasticsearch
kibana
kafka
tweets
sentiment-analysis
twitter-api
zookeeper
kafka-topic
spark-streaming
apache-kafka
twitter-sentiment-analysis
kafka-streams
live-tweets
vader-sentiment-analysis
kibana-visualization
big-data-analytics
trump-tweets
textblob-sentiment-analysis
kafka-producer-consumer
coronavirus
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