Predicting speaker attitude in the UK House of Commons
In this paper the authors seek to establish the most appropriate mechanism for conducting sentiment analysis with respect to political debates so as to predict their outcome. To this end two alternative approaches are considered, the classification based approach and the lexicon based approach. In the context of the second approach either generic or domain specific lexicons may be adopted, both options are compared with the classification based approach. The comparison between the potential sentiment mining approaches and supporting techniques is conducted by predicting the attitude of individual debaters (speakers) in political debates (using debate transcripts taken from the proceedings of the UK House of Commons). The reported comparison indicates that the attitude of speakers can be effectively predicted using sentiment mining. The authors then go on to consider whether speaker political party affiliation is a better indicator of attitude than the content of the concatenated speeches of individual debaters.[Full Paper]
For each technical report listed here, copyright and all intellectual property rights remain with the respective authors. Copyright is effective from the year of publication in each case. By downloading a file from this page, you agree to use it only for purposes of research and scholarship. Any other use of this material or storage of it in any medium or its sale or distribution in any form is expressly forbidden without prior written permission from the authors concerned.