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GitHub / Ashwanikumarkashyap / sentiment-analysis-of-streaming-tweets-and-visualizations-using-its-kafka-kibana

Implemented the following framework using Apache Spark Streaming, Kafka, Elastic, and Kibana. The framework performs SENTIMENT analysis of hash tags in twitter data in real-time. For example, we want to do the sentiment analysis for all the tweets for #trump, #coronavirus.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashwanikumarkashyap%2Fsentiment-analysis-of-streaming-tweets-and-visualizations-using-its-kafka-kibana

Stars: 6
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 928 KB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 2 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago

Topics: big-data, kafka, kibana, kibana-visualization, nltk, pyspark, python, sentiment-analysis, spark, spark-streaming

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