Twitter

Taking a look at data of 1.6 million twitter users and drawing useful insights while exploring interesting patterns. The techniques used include text mining, sentimental analysis, probability, time series analysis and Hierarchical clustering on text/words using R

Stream real time Tweets of current affairs like covid-19 using Kafka 2.0.0 high throughput producer & consumer into Elasticsearch using safe, idempotent and compression configurations.