Predicting document novelty: an unsupervised learning approach

Author:

Nair Binesh

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference37 articles.

1. Hobart M (2020) The ‘dark data’conundrum. Comput Fraud Secur 2020(7):13–16

2. Ghosal T, Salam A, Tiwari S, Ekbal A, Bhattacharyya P (2018) TAP-DLND 1.0: A corpus for document level novelty detection. arXiv preprint arXiv:1802.06950

3. Salton G, Harman D (2003) Information retrieval. In: Encyclopedia of computer science, pp 858–863

4. Hearst M (2003) What is text mining. SIMS, UC Berkeley, 5

5. Soboroff I, Harman D (2005) Novelty detection: the TREC experience. In: Proceedings of the conference on human language technology and empirical methods in natural language processing. Association for Computational Linguistics, pp 105–112 (2005)

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