Sentibase: Sentiment Analysis in Twitter on a Budget
- Satarupa Guha ,
- Aditya Joshi ,
- Vasudeva Varma
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) | , pp. 590-594
Like SemEval 2013 and 2014, the task Sentiment Analysis in Twitter found a place in this year’s SemEval too and attracted an unprecedented number of participations. This task comprises of four sub-tasks. We participated in subtask 2 — Message polarity classification. Although we lie a few notches down from the top system, we present a very simple yet effective approach to handle this problem that can be implemented in a single day!