A Kafka client that fetches tweets using Twitter Streaming API and sends them to Kafka.

a demo project to Analyze most popular twitter hashtags using Java 8 Spring-Boot Spark Streaming Kafka & Docker Demo.

Twitter data analysis using hadoop (hdfs), flume, map-reduce and hive. Sentiment Analysis is also done using affin dictionary for tweets related to Indian election.

Streaming specific Tweets with Apache Flink

Real-time population of tweets using Kafka to Elastic Search displaying Sentiments

spring-boot

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. Aggregate the data and use it for further analytics.

Retrieves last tweets that contains some keyword and prints them

Exploring Twitter Data using Elasticseach & Kibana's Canvas.

A lossy counting algorithm implemented to determine the top trending hashtags using the Twitter API to get a continuous stream of tweets.

Apache Kafka Java Examples

Twitter Streaming API app for Android

Stay connected with the latest news and events, connect with friends and family, and share your own thoughts and opinions with the Twitter App for Android.

Classes to connect with and use the Twitter Streaming API

Near real-time Twitter data streaming using Apache Flink

A project to collect, format and index tweets(in Apache Solr)

Experimentations with Kafka

A simple Android project showing realtime tweets around user on Google Map

Advisory Android application for the stock market based off of pooled tweets, gathered from Twitter’s Streaming API, on Twitter users’ suggestions to buy or sell

Collects data about users on Twitter (using Twitter Streaming API and MongoDB) and detects communities (using Gephi).