senti

• Retrieve datasets using Spark Streaming
• Language detection
• Sentiment Analysis (StanfordNLP)
• Index tweets in Elasticsearch
• Live dashboard using Kibana

Docker setup

Configure Twitter OAuth in docker-compose.yml file.

After installing docker & docker-compose, you can launch the stack with the following commands:

docker-compose build
docker-compose up

After a while, Elasticsearch, Kibana, and Spark should be up:

• http://0.0.0.0:4040/streaming
• http://0.0.0.0:9200/_plugin/head
• http://0.0.0.0:5601

Manual setup

curl -O http://d3kbcqa49mib13.cloudfront.net/spark-1.5.2.tgz
tar xvzf spark-1.5.2.tgz
cd spark-1.5.2
./sbt/sbt assembly

cd ..

curl -O https://download.elasticsearch.org/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/2.1.1/elasticsearch-2.1.1.tar.gz
tar xvzf elasticsearch-2.1.1.tar.gz
cd elasticsearch-2.1.1
bin/plugin -install mobz/elasticsearch-head
bin/elasticsearch -d

cd ..
chmod a+x insert.dashboard.sh
./insert.dashboard.sh

curl -O https://download.elastic.co/kibana/kibana/kibana-4.3.1-linux-x64.tar.gz
tar xvzf kibana-4.3.1-linux-x64.tar.gz 
cd kibana-4.3.1-linux-x64
bin/kibana

cd ..

curl -L -O https://dl.bintray.com/sbt/native-packages/sbt/0.13.9/sbt-0.13.9.tgz
tar xvzf sbt-0.13.9.tgz

JAVA_OPTS=-Xmx2G sbt/bin/sbt assembly

../spark-1.5.2/bin/spark-submit \
--class com.github.shobhitsharma.TwitterSentimentAnalysis \
--master local[2] \
target/scala-2.10/twitter-sentiment-analysis-assembly-0.1-SNAPSHOT.jar \
<consumer_key> \
<consumer_secret> \
<access_token> \
<access_token_secret> \
[<filters>]