Summary of the paper
| Title | SentiWS - A Publicly Available German-language Resource for Sentiment Analysis |
|---|---|
| Authors | Robert Remus, Uwe Quasthoff and Gerhard Heyer |
| Abstract | SentimentWortschatz, or SentiWS for short, is a publicly availableGerman-language resource for sentiment analysis, opinion mining etc. It listspositive and negative sentiment bearing words weighted within the interval of[-1; 1] plus their part of speech tag, and if applicable, their inflections.The current version of SentiWS (v1.8b) contains 1,650 negative and 1,818positive words, which sum up to 16,406 positive and 16,328 negative word forms,respectively. It not only contains adjectives and adverbs explicitly expressinga sentiment, but also nouns and verbs implicitly containing one. The presentwork describes the resource’s structure, the three sources utilised toassemble it and the semi-supervised method incorporated to weight the strengthof its entries. Furthermore the resource’s contents are extensively evaluatedusing a German-language evaluation set we constructed. The evaluation set isverified being reliable and its shown that SentiWS provides a beneficiallexical resource for German-language sentiment analysis related tasks to buildon. |
| Language | Acquisition |
| Topics | Emotion Recognition/Generation, Lexicon, lexical database, Acquisition |
Full paper  |
SentiWS - A Publicly Available German-language Resource for Sentiment Analysis |
| Bibtex | @InProceedings{REMUS10.490, author = {Robert Remus, Uwe Quasthoff and Gerhard Heyer}, title = {SentiWS - A Publicly Available German-language Resource for Sentiment Analysis}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |