Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-021-00807-1.pdf
Reference49 articles.
1. Araque O, Zhu G, Iglesias CA. A semantic similarity-based perspective of affect lexicons for sentiment analysis. Knowl Based Syst. 2019;165:346–59.
2. Aslam F, Awan T, Syed JH, Kashif A, Parveen M. Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak. Humanit Soc Sci Commun. 2020;7(1):1–9.
3. Bobicev V, Sokolova M. Inter-annotator agreement in sentiment analysis: machine learning perspective. In: RANLP 2017. ACL. 2017. p. 97–102.
4. Carducci G, Leontino M, Radicioni DP, Bonino G, Pasini E, Tripodi P (2019) Semantically aware text categorisation for metadata annotation. In: Italian research conference on digital libraries. Springer. p. 315–30.
5. Chen Q, Sokolova M.Word2vec and doc2vec in unsupervised sentiment analysis of clinical discharge summaries. 2018. arXiv:1805.00352.
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