Usage of Abstract Features in Semantic Sentiment Analysis
نویسندگان
چکیده
Abstract. Feature-based sentiment analysis can be realized on di↵erent types of object features. Some of these features might be about technical aspects of the objects and some others might be application-oriented features. The application-oriented features are more abstract features and can be of interest to the broad number of people than only the technical experts of specific products. In this paper, we propose an approach for extraction of abstract object features from a set of sub-features. In our approach we use a knowledge base about the application domain to extract related sub-features of high-level abstract features. On the basis of such related sub-features our approach performs the extraction of more abstract features that are only implicitly included in the analysis text.
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