I am looking for a programmer who has experience with open source classification and clusterization engines, such as OpenNLP and Carrot 2.
I am looking for help to develop a system using sentiment analysis which will compare articles on the same subject from 2 different RSS feeds and rank them as to their positive or negative sentiment. We want to start off by using an open source sentiment analysis tool so that the project can be done fairly simply at first to serve 10 - 20 articles in 3 - 4 topic areas per day.
The aim would be for articles on the same topic to be categorized as the most positive and the most negative with others in between that may not be as strong one way or the other, but are still in the same grouping by topic.
The articles will be accessible via mobile app and a website.