Author:
Shaswat Kumar,Singh Avantika,Kalra Parul,Mehrotra Deepti
Reference12 articles.
1. Bhatt G, Sharma A, Sharma S, Nagpal A, Raman B, Mittal A (2018). Combining neural, statistical and external features for fake news stance identification. In: Companion proceedings of the the web conference 2018, pp 1353–1357
2. Riedel B, Augenstein I, Spithourakis GP, Riedel S (2017) A simple but tough-to-beat baseline for the fake news challenge stance detection task. arXiv preprint arXiv:1707.03264
3. Hanselowski A, PVS A, Schiller B, Caspelherr F, Chaudhuri D, Meyer CM, Gurevych I (2018) A retrospective analysis of the fake news challenge stance detection task. arXiv preprint arXiv:1806.05180
4. Thorne J, Chen M, Myrianthous G, Pu J, Wang X, Vlachos A (2017) Fake news stance detection using stacked ensemble of classifiers. In: Proceedings of the 2017 EMNLP workshop: natural language processing meets journalism, pp 80–83
5. Christian H, Agus MP, Suhartono D (2016) Single document automatic text summarization using term frequency-inverse document frequency (TF-IDF). ComTech: Comput Math Eng Appl 7(4):285–294
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1. Stance Detection using Two Popular Benchmarks: A Survey;2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2022-10-25