Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences
Abstract
Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. We believe that by combining information about subjectivity in texts and authorship, the performance of both tasks can be improved. In the paper a personalized approach to opinion mining is presented, in which the notions of personal sense and idiolect are introduced and used for polarity classification task. The results of applying the personalized approach to opinion mining are presented, confirming that the approach increases the performance of the opinion mining task. Automatic authorship attribution is further applied to model the personalized approach, classifying documents by their assumed authorship. Although the automatic authorship classification imposes a number of limitations on the dataset for further experiments, after overcoming these issues the authorship attribution technique modeling the personalized approach confirms the increase over the baseline with no authorship information used.
Recommended Citation
Panicheva, P., Cardiff, J. and Rosso, P. Personal sense and idiolect: Combining authorship attribution and opinion analysis. Seventh International Conference on Language Resources and Evaluation, Malta, 2010.
Funder
Institute of Technology Tallaght
Publication Details
LREC 2010 Proceedings
http://www.lrec-conf.org/lrec2010/
Malta, 2010
Seventh International Conference on Language Resources and Evaluation