Summary of the paper
| Title | “Vreselijk mooi!” (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives. |
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| Authors | Tom De Smedt and Walter Daelemans |
| Abstract | We present a new open source subjectivity lexicon for Dutch adjectives. The lexicon is a dictionary of 1,100 adjectives that occur frequently in online product reviews, manually annotated with polarity strength, subjectivity and intensity, for each word sense. We discuss two machine learning methods (using distributional extraction and synset relations) to automatically expand the lexicon to 5,500 words. We evaluate the lexicon by comparing it to the user-given star rating of online product reviews. We show promising results in both in-domain and cross-domain evaluation. The lexicon is publicly available as part of the PATTERN software package (http://www.clips.ua.ac.be/pages/pattern). |
| Topics | Emotion Recognition/Generation, Lexicon, lexical database, Document Classification, Text categorisation |
Full paper  |
“Vreselijk mooi!” (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives. |
| Bibtex | @InProceedings{DESMEDT12.312, author = {Tom De Smedt and Walter Daelemans}, title = {“Vreselijk mooi!” (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives.}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |