An intelligent model based on integrated inverse document frequency and multinomial Naive Bayes for current affairs news categorisation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01471-7.pdf
Reference59 articles.
1. Ahmed M, Mahmood AN, Islam MR (2016) A survey of anomaly detection techniques in financial domain. Future Gener Comput Syst 55:278–288
2. Al Omran FNA, Treude C (2017) Choosing an nlp library for analyzing software documentation: a systematic literature review and a series of experiments. In: 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR), IEEE, pp 187–197
3. Alhothali A, Hoey J (2015) Good news or bad news: Using affect control theory to analyze readers’reaction towards news articles. In: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp 1548–1558
4. Ashuri T (2016) When online news was new: Online technology use and constitution of structures in journalism. Journal Stud 17(3):301–318
5. Bail CA (2017) Taming big data: Using app technology to study organizational behavior on social media. Sociol Methods Res 46(2):189–217
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