Impact of word embedding models on text analytics in deep learning environment: a review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-023-10419-1.pdf
Reference225 articles.
1. Agüero-Torales MM, Abreu Salas JI, López-Herrera AG (2021) Deep learning and multilingual sentiment analysis on social media data: An overview. Appl Soft Comput 107:107373. https://doi.org/10.1016/j.asoc.2021.107373
2. Akhtyamova L, Martínez P, Verspoor K, Cardiff J (2020) Testing contextualized word embeddings to improve NER in Spanish clinical case narratives. IEEE Access 8:164717–164726. https://doi.org/10.1109/ACCESS.2020.3018688
3. Akkasi A, Moens MF (2021) Causal relationship extraction from biomedical text using deep neural models: a comprehensive survey. J Biomed Inform 119:103820. https://doi.org/10.1016/j.jbi.2021.103820
4. Al-Ramahi M, Alsmadi I (2021) Classifying insincere questions on Question Answering (QA) websites: meta-textual features and word embedding. J Bus Anal 4:55–66. https://doi.org/10.1080/2573234X.2021.1895681
5. Alamoudi ES, Alghamdi NS (2021) Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings. J Decis Syst 30:259–281. https://doi.org/10.1080/12460125.2020.1864106
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