Repository of applications built with Rhadoop.

There's no need for introductions.

Receive as input tweet messages and apply a sentiment analysis function to each message. The function was built by Jeffrey Breen, with opinion lexicons based on a book by Bing Liu among other materials.

Take also a look at the packages sentiment (archived on 2012) and qdap (function polarity).

To generate the dataset you have to configure the twitter-streaming.py script with you account information. To execute it run the following command:

./twitter-streaming.py <keyword> <language> > <output_file>

The test sentiment-analysis-test.R requires tweet messages with geolocation information to plot the results in a map. To filter the dataset use the command:

./tweet-filter.py <input_file> coordinates

Creates a histogram of the k-mers of a sequence in the FASTQ format. The test dataset is a sample from the e. coli bacteria, the full dataset can be downloaded from here.

• Inverted Index
• Inverted Citations

MIT