Sarcasm Detection in Tweets as Contrast Sentiment in Words Using Machine Learning and Deep Learning Approaches-Reference-Cited by-同舟云学术

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Sarcasm Detection in Tweets as Contrast Sentiment in Words Using Machine Learning and Deep Learning Approaches

Published:2020 Issue: Volume: Page:73-84
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Sengar Chandra Prakash Singh,Jaya Nirmala S.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6315-7_6

Reference21 articles.

1. Twitter. https://twitter.com/

2. http://www.thesarcasmdetector.com/about/

3. Riloff, E., Qadir, A., Surve, P., Silva, L., Gilbert, N., Huang, R..: Sarcasm as contrast between a positive sentiment and negative situation. In: Proceedings of EMNLP, pp. 704–714 (2013)

4. Sarcastic tweets database. https://github.com/MathieuCliche/Sarcasm_detector/blob/master/app/twitDB_sarcasm.csv

5. Regular tweets database. https://github.com/MathieuCliche/Sarcasm_detector/blob/master/app/twitDB_regular.csv

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1. Detecting Contradiction and Entailment in Multilingual Text;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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