Movie genre classification using binary relevance, label powerset, and machine learning classifiers
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13211-5.pdf
Reference40 articles.
1. Berger MJ (2015) Large scale multi-label text classification with semantic word vectors. Technical report, Stanford University
2. Bhowmik A, Kumar S, Bhat N (2019) Eye disease prediction from optical coherence tomography images with transfer. Learning engineering applications of neural networks. EANN, Communications in Computer and Information
3. Bhowmik A, Kumar S, Bhat N (2021) Evolution of automatic visual description techniques-a methodological survey. Multimedia Tools and Applications, pp 1–45
4. Cai L, Song Y, Liu T, Zhang K (2020) A hybrid BERT model that incorporates label semantics via adjustive attention for Multi-Label text classification. IEEE Access 8:152183–92
5. Chu WT, Guo HJ (2017) Movie genre classification based on poster images with deep neural networks. In: proceedings of the workshop on multimodal understanding of social, affective and subjective attributes, pp 39–45
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