ML-Ask - eMotive eLement and Expression Analysis
| Main Authors: | Ptaszynski, Michal, Dybala, Pawel, Rzepka, Rafal, Araki, Kenji, Masui, Fumito |
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| Format: | info software Journal |
| Terbitan: |
, 2011
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/556476 |
Daftar Isi:
- ML-Ask, or eMotive eLement and Expression Analysis system, is a keyword-based language-dependent system for automatic affect annotation on utterances in Japanese. It uses a two-step procedure: 1. Specifying whether a sentence is emotive, and 2. Recognizing particular emotion types in utterances described as emotive. The database of emotemes was hand-crafted and contains 907 emotemes, which include such groups of emotemes as interjections, mimetic expressions (gitaigo in Japanese), vulgar language, or emotive sentence markers. The emotive expression database is a collection of over two thousand expressions describing emotional states. ML-Ask also implements the idea of Contextual Valence Shifters (CVS) for Japanese with 108 syntactic negation structures. Finally, ML-Ask implements Russell’s two dimensional model of affect. The model assumes that all emotions can be represented in two dimensions: the valence (positive/negative) and activation (activated/deactivated).
- The software is released under New BSD License. Original Software homepage: http://arakilab.media.eng.hokudai.ac.jp/~ptaszynski/repository/mlask.htm