Extraction and Processing of Web Content for Corpus Creation: A Systematic Literature Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50590-4_9
Reference12 articles.
1. Boonmatham, S., & Meesad, P. (2020). Stock price analysis with natural language processing and machine learning. Proceedings of the 11th International Conference on Advances in Information Technology (IAIT2020). Association for Computing Machinery, Article 47, 1–6. https://doi.org/10.1145/3406601.3406652
2. Ciambrone, G., & Wilson, S. (2023). Creation and analysis of a corpus of scam emails targeting universities. https://doi.org/10.1145/3543873.3587303
3. Diouf, R., Sarr, E. N., Sall, O., Birregah, B., Bousso, M., & Mbaye, S. N. (2019). Web scraping: State-of-the-art and areas of application. En HAL (Le Centre pour la Communication Scientifique Directe). Le Centre pour la Communication Scientifique Directe. https://doi.org/10.1109/bigdata47090.2019.9005594
4. Gorro, K. D., Ali, M. F., Gorro, K. D., & Ancheta, J. M. (2020). Exploring natural language processing techniques in social media analysis during a pandemic. In International conference on information technology. https://doi.org/10.1145/3446999.3447012
5. Hart, K. L., Perlis, R. H., & McCoy, T. P. (2020). What do patients learn about psychotropic medications on the web? A natural language processing study. Journal of Affective Disorders, 260, 366–371. https://doi.org/10.1016/j.jad.2019.09.043
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