Real-time-Twitter-sentiment-analysis

This application analyzes tweets in the following way. First I collect the data from Twitter then I store them on kafka, Then I send the tweets from kafka to kafka consumer to analyze them with sparkStreaming, finally I display the results in kibana with ElasticSearch. Tools:

• Python
• Twitter API
• kafka
• ElasticSearch/Kibana
• SparkStreaming

the result Covid19 topic's is

• Most used Hashtags

• Most frequent words

• Feelings statistics