Computes sentiment analysis of tweets of US States in real-time using Storm.

Computes and visualizes the sentiment analysis of tweets of US States in real-time using Storm.

A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.

Sentiment analysis for Twitter and social media

A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.

Computes and visualizes the sentiment analysis of tweets of UK Counties / Regions in real-time using Storm.

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.

This project aims to consume a twitter stream via Apache Kafka, apply a sentiment analysis on the tweets with Apache Spark jobs and save the result into Apache HBase.

Twitter sentiment analysis using Spark and Java

Full term Project of the exam of Parallel Computing of University of Florence. Implementation of Twitter Sentiment Analysis using Hadoop, Apache Storm and HBase to obtain parallelization.

A tool which helps users gather a kind of big data from Twitter

A streaming project using Kafka and Flink, I am developing this project to be Familiar with this framework and Scala programming.

Tweets are analysed as they come from Twitter Streaming API, using Stanford CoreNLP Library. Backend server is built using Spring (Boot), where the tweets are extracted and stored in the Spring Boot Kafka topic. Tweets are analysed using Stanford CoreNLP which integrates many NLP tools and the tweets along with sentiment scores are stored into M…

Big Data Project

The parent repo for all the modules composing umigon

Scripts for processing and annotating tweets for sentiment analysis.