DSPWE: distributed sentiment polarized word embedding for voluminous textual data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04611-y.pdf
Reference48 articles.
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3. Bojanowski P, Grave E, Joulin A, Mikolov T (2017) Enriching word vectors with subword information. Trans Assoc Comput Linguist 5:135–146. https://doi.org/10.1162/tacl_a_00051
4. Cambria E, Das D, Bandyopadhyay S, Feraco A (2017) Affective computing and sentiment analysis. In: Cambria E, Das D, Bandyopadhyay S, Feraco A (eds) A practical guide to sentiment analysis. Springer, Cham, pp 1–10. https://doi.org/10.1007/978-3-319-55394-8_1
5. Cambria E, Poria S, Hazarika D, Kwok K (2018) SenticNet 5: Discovering conceptual primitives for sentiment analysis by means of context embeddings. In: Proceedings of the AAAI conference on artificial intelligence, pp 1795–1802. https://doi.org/10.1609/aaai.v32i1.11559
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