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.
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