Frame Semantics Evolutionary Model for Emotion Detection
نویسندگان
چکیده
منابع مشابه
Frame Semantics Evolutionary Model for Emotion Detection
Emotions play a significant role in identifying attitude, state, condition or mode of a particular circumstance. Textual data, in particular, involves emotional state and affective communication beside its informative contents. Emotion extraction from text has been potentially studied to stimulate and elicit articulation features. In this study, a machine learning emotion detection model is pro...
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Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training, ...
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Previous studies on emotion classification mainly focus on the writer's emotional state. By contrast, this research emphasizes emotion detection from the readers' perspective. The classification of documents into reader-emotion categories can be applied in several ways, and one of the applications is to retain only the documents that trigger desired emotions to enable users to retrieve document...
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18 Frames are conceptual structures that provide context for elements of in19 terpretation; their primary role in an account of text understanding is to 20 explain how our text interpretations can leap far beyond what the text lit21 erally says. The present article explores the role of frames in providing a 22 principled account of the openness and richness of word-meanings, distin23 guishing a...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2014
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v7n1p136