Paper: Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet

ACL ID D13-1125
Title Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Assigning a positive or negative score to a word out of context (i.e. a word?s prior polar- ity) is a challenging task for sentiment analy- sis. In the literature, various approaches based on SentiWordNet have been proposed. In this paper, we compare the most often used tech- niques together with newly proposed ones and incorporate all of them in a learning frame- work to see whether blending them can fur- ther improve the estimation of prior polarity scores. Using two different versions of Sen- tiWordNet and testing regression and classifi- cation models across tasks and datasets, our learning approach consistently outperforms the single metrics, providing a new state-of- the-art approach in computing words? prior polarity for sentiment analysis. We conclude our investigation showing inte...