KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-023-02051-w.pdf
Reference51 articles.
1. Ng CY, Law KM, Ip AW (2021) Assessing public opinions of products through sentiment analysis: product satisfaction assessment by sentiment analysis. J Organ End User Comput 33(4):125–141
2. Usama M, Ahmad B, Song E, Hossain MS, Alrashoud M, Muhammad G (2020) Attention-based sentiment analysis using convolutional and recurrent neural network. Future Gener Comput Syst 113:571–578
3. Barkur G, Kamath GB (2020) Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: evidence from India. Asian J Psychiatr 51:102089
4. Mehmood K, Essam D, Shafi K, Malik MK (2020) An unsupervised lexical normalization for Roman Hindi and Urdu sentiment analysis. Inf Process Manag 57(6):102368
5. Kumar P, Pathania K, Raman B (2022) Zero-shot learning based cross-lingual sentiment analysis for sanskrit text with insufficient labeled data. Appl Intell 53:10096–10113
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