Abstract
We present a novel task: The chronological classification of Hafez's poems (ghazals). We compiled a bilingual corpus in digital form, with consistent idiosyncratic properties. We have used Hooman's labeled ghazals in order to train automatic classifiers to classify the remaining ghazals. Our classification framework uses a Support Vector Machine (SVM) classifier with similarity features based on Latent Dirichlet Allocation (LDA). In our analysis of the results we use the LDA topics' main terms that are passed on to a Principal Component Analysis (PCA) module.
Cite
CITATION STYLE
Rahgozar, A., & Inkpen, D. (2016). Bilingual chronological classification of hafez’s poems. In Proceedings of the 5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 (pp. 54–62). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-0207
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