Concept Identification from Poems
- 1 February 2017
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)
- p. 211-216
- https://doi.org/10.1109/icrtccm.2017.51
Abstract
Emotion recognition has become an important topic in natural language processing. Usually words labeled with their emotion is the starting place to find the emotion of a text,but it is very essential that context must also be considered. It is not a simple task to capture the overall emotion of a Text, as words are mutually influence their emotion related interpretation.There is a lot of word-based dictionaries available for emotion recognition from the text. However, commonsense knowledge bases are very less. We used ConceptNet ( commonsense knowledge) for concept mining from poems. In this paper we proposed a concept identification method by using ConceptNet knowledge base to depict the concept of poems.This system gives a precision value of 71% and inter-rater agreement of 48%, depicting its moderate agreement with Human Expert interpretation.Keywords
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