Publications

See a list of publications below or visit the Photonics academic staff page and click on a particular  member of staff to access their personal web page, which includes a list of their own publications.

Citation

BibTex format

@inproceedings{Mathur:2019,
author = {Mathur, V and Mathur, A and Kumar, S},
pages = {975--979},
title = {A comparative study of soft computing paradigms for automatic humour detection in Tweets},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Humour has been an integral entity of human life with its lingual, social and psychological aspects. Due to its vast applications and increasing popularity on social media platforms, enabling computers to process humour has become very crucial. Therefore, we intent to aid task of computational analysis of humour by employing deep learning and machine learning techniques for humour detection. We use micro-blogging website twitter, being an abundant source of humorous content, as the focus of this study. We created a symmetrically distributed dataset containing 4000 funny and plain tweets and applied seven supervised classification algorithms to perform the task of detecting tweets, which contain humour. Accuracy, recall and precision have been used as the metrics of performance.
AU  - Mathur,V
AU  - Mathur,A
AU  - Kumar,S
EP  - 979
PY  - 2019///
SP  - 975
TI  - A comparative study of soft computing paradigms for automatic humour detection in Tweets
ER  -
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