Machine Learning Classifier

This paper describes our participation at SemEval- 2014 sentiment analysis task, in both contextual and message polarity classification. Our idea was to com- pare two different techniques for sentiment analysis. …...

AbstractThis paper presents Linked Health Answers, a natural language question answering systems that utilizes health data drawn from the Linked Data Cloud. The contributions of this paper are three-fold: Firstly, …...

AbstractWe address the task of automatically estimating the missing values of linguistic features by making use of the fact that some linguistic features in typological databases are informative to each …...

AbstractIn this paper, we present an experiment to detect emotions in tweets. Unlike much previous research, we draw the important distinction between the tasks of emotion detection in a closed …...

AbstractThe existing research on sentiment analysis mainly utilized data curated in limited geographical regions and demography (e.g., USA, UK, China) due to commercial interest and availability of review data. Since …...

AbstractReadability assessment is a basic research task in the field of education. Traditional methods mainly employ machine learning classifiers with hundreds of linguistic features. Although the deep learning model has …...

We introduce a new bi-dimensional classifica- tion scheme for political bias. In particular, we collaborate with political scientists and iden- tify two important aspects: cultural and socio- economic positions. Using …...