Language-Independent Twitter Sentiment Analysis

We recently presented our work on a language-independent approach to sentiment analysis (positive or negative emotions) in tweets at KDML at LWA 2012, Dortmund, Germany.

We also present our evaluation dataset of human-annotated sentiments in tweets, collected using Amazon Mechanical Turk. You can download the dataset for research purposes.


The Magic Barrier of Recommender Systems

In this post Alan describes our two most recent papers related to the magic barrier of recommender systems. The magic barrier is a concept introduced by Herlocker et al., the term refers to the point at which the accuracy of an algorithm cannot be improved, e.g. where higher precision accuracy, or lower prediction error, does […]