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Abstract
In this paper we introduce SACAM — a model for describing and classifying sentiment analysis (SA) methods. The model focuses on the knowledge used during processing textual opinions. SACAM was designed to create informative descriptions of SA methods (or classes of SA methods) and is strongly integrated with its accompanying graphical notation suited for presenting the descriptions in diagrammatical form. The paper discusses applications of SACAM and shows directions of its further development.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Proceedings of the 9th International Conference on Agents and Artificial Intelligence strony 196 - 206
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Waloszek A., Waloszek W..: SACAM A Model for Describing and Classifying Sentiment Analysis Methods, W: Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.5220/0006199901960206
- Verified by:
- Gdańsk University of Technology
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