Twitter sentiments real time analyzer

Positive tweets words trending with Apache Storm

This project is a prototype integrating Twitter with Storm and HDFS

Storm topology business logic

• analyze in real-time stream of tweets written in English
• find positive tweets
• define words trending in predefined window interval
• writing results to HDFS

For tweets sentimental analysis I used https://nlp.stanford.edu/software/ open source library

How to run with maven

mvn exec:java -Dexec.mainClass="com.davidgreenshtein.storm.twitter.TopologySentiment"
              -Dtwitter4j.oauth.consumerKey=*** 
              -Dtwitter4j.oauth.consumerSecret=***
              -Dtwitter4j.oauth.accessToken=***
              -Dtwitter4j.oauth.accessTokenSecret=***
              -Dexec.args="hdfs://[namenode host name]:8020 [hdfs output path] [hdfs user name] local"

How to run on cluster

storm jar twitter-sentiments-1.0-SNAPSHOT.jar \
 com.davidgreenshtein.storm.twitter.TopologySentiment \
 hdfs://[namenode host name]:8020 \
 [hdfs output path] \
 [hdfs user name] \
 distributed \
 [properties file location path]