Rule Based Method for Terrorism, Violence and Threat Classification: Application to Arabic Tweets-Reference-Cited by-同舟云学术

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Rule Based Method for Terrorism, Violence and Threat Classification: Application to Arabic Tweets

Published:2020 Issue: Volume: Page:209-219
ISSN:1865-0929
Container-title:Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications
language:
Short-container-title:

Author:

Elahsoumi Wissam,Boujelben Ines,Keskes Iskander

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-38833-1_18

Reference9 articles.

1. Communications in Computer and Information Science;H Chenny,2016

2. Silberztein, M.: The Formalisation of Natural Languages: the NooJ Approach, p. 34. Wiley, Hoboken (2016)

3. Inyaem, U., Phayung, M., Choochart, H., Dat, T.: Ontology-based terrorism event extraction. In: First International Conference on Information Science and Engineering, pp. 912–915, Nanjing, China (2009)

4. Chung, W.: Categorizing Temporal events: a case study of domestic terrorism. In Intelligence and Security Informatics (ISI), pp. 159–161, Arlington, VA, USA (2012)

5. Liu, S., Forss, T.: New Classification models for detecting hate and violence web content. In: 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), Lisbon, Portugal (2015)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid CNN-LSTM Model for Automated Violence Detection and Classification in Surveillance Systems;2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART);2023-12-22

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