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- 264 creator gregory-grefenstette.
- 264 creator guillaume-pitel.
- 264 type InProceedings.
- 264 label "Semi-automatic Building Method for a Multidimensional Affect Dictionary for a New Language".
- 264 sameAs 264.
- 264 abstract "Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. While for the English language there exists a number of affect, emotive, opinion, or affect computer-usable lexicons for automatically processing text, other languages rarely possess these primary resources. Here we present a semi-automatic technique for quickly building a multidimensional affect lexicon for a new language. Most of the work consists of defining 44 paired affect directions (e.g. love-hate, courage-fear, etc.) and choosing a small number of seed words for each dimension. From this initial investment, we show how a first pass affect lexicon can be created for new language, using a SVM classifier trained on a feature space produced from Latent Semantic Analysis over a large corpus in the new language. We evaluate the accuracy of placing newly found emotive words in one or more of the defined semantic dimensions. We illustrate this technique by creating an affect lexicon for French, but the techniques can be applied to any language found on the Web and for which a large quantity of text exists.".
- 264 hasAuthorList authorList.
- 264 hasTopic Linguistics.
- 264 isPartOf proceedings.
- 264 keyword "Acquisition, Machine Learning".
- 264 keyword "Emotions".
- 264 keyword "Lexicon, lexical database".
- 264 title "Semi-automatic Building Method for a Multidimensional Affect Dictionary for a New Language".