Paper: Sentiment Analysis on the People's Daily

ACL ID D14-1053
Title Sentiment Analysis on the People's Daily
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014

We propose a semi-supervised bootstrap- ping algorithm for analyzing China?s for- eign relations from the People?s Daily. Our approach addresses sentiment tar- get clustering, subjective lexicons extrac- tion and sentiment prediction in a unified framework. Different from existing algo- rithms in the literature, time information is considered in our algorithm through a hierarchical bayesian model to guide the bootstrapping approach. We are hopeful that our approach can facilitate quantita- tive political analysis conducted by social scientists and politicians.