ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Uchanganuzi wa Hisia wa Lugha Nyingi

Uchanganuzi wa Hisia wa Lugha Nyingi (MSA) hutumia akili bandia ya kina — mara nyingi zaidi mfumo mkuu wa lugha wa lugha nyingi ulioboreshwa kama vile mBERT au XLM-RoBERTa — kuainisha mwelekeo wa hisia (chanya, hasi, neutral) wa maandishi yaliyoandikwa kwa lugha mbili au zaidi, kuwezesha uchimbaji wa maoni kuvuka mipaka ya lugha bila kuunda mifumo tofauti kwa kila lugha.

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Vyanzo

  1. Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzman, F., Grave, E., Ott, M., Zettlemoyer, L., & Stoyanov, V. (2020). Unsupervised Cross-lingual Representation Learning at Scale. Proceedings of ACL 2020, 8440–8451. DOI: 10.18653/v1/2020.acl-main.747
  2. Barnes, J., Klinger, R., & Wubben, S. (2022). Structured Sentiment Analysis as Dependency Graph Parsing. Computational Linguistics, 48(3), 693–744. DOI: 10.18653/v1/2021.acl-long.263

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilingual Sentiment Analysis (Cross-Lingual Opinion Mining). ScholarGate. https://scholargate.app/sw/deep-learning/multilingual-sentiment-analysis

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Imerejelewa na

ScholarGateMultilingual Sentiment Analysis (Multilingual Sentiment Analysis (Cross-Lingual Opinion Mining)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multilingual-sentiment-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026