Title |
Annotating Topics of Opinions |
Authors |
Veselin Stoyanov and Claire Cardie |
Abstract |
Fine-grained subjectivity analysis has been the subject of much recent research attention. As a result, the field has gained a number of working definitions, technical approaches and manually annotated corpora that cover many facets of subjectivity. Little work has been done, however, on one aspect of fine-grained opinions - the specification and identification of opinion topics. In particular, due to the difficulty of manual opinion topic annotation, no general-purpose opinion corpus with information about topics of fine-grained opinions currently exists. In this paper, we propose a methodology for the manual annotation of opinion topics and use it to annotate a portion of an existing general-purpose opinion corpus with opinion topic information. Inter-annotator agreement results according to a number of metrics suggest that the annotations are reliable. |
Language |
Single language |
Topics |
Corpus (creation, annotation, etc.), Acquisition, Machine Learning, Information Extraction, Information Retrieval |
Full paper |
Annotating Topics of Opinions |
Slides |
Annotating Topics of Opinions |
Bibtex |
@InProceedings{STOYANOV08.813,
author = {Veselin Stoyanov and Claire Cardie},
title = {Annotating Topics of Opinions},
booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
year = {2008},
month = {may},
date = {28-30},
address = {Marrakech, Morocco},
editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
publisher = {European Language Resources Association (ELRA)},
isbn = {2-9517408-4-0},
note = {http://www.lrec-conf.org/proceedings/lrec2008/},
language = {english}
} |