Jasleen Kaur
Jasleen Kaur is a computer science researcher whose work applies machine learning to Punjabi text. Her papers examine text sentiment, classify Punjabi poetry, and label poems for emotion with the Kāvi corpus. In 2022, she coauthored a deep-learning classifier for Punjabi poetry themes; in September 2026, she coauthored research on Punjabi social-media sarcasm. As of October 2026, she serves on ICICAI's International Program Committee and is affiliated with the University of Saskatchewan.
- Works
- 14
- Citations
- 238
- h-index
- 8
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2014
Emotion and sentiment analysis
In 2014, she and Jatinderkumar R. Saini publish “Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles.”
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January 2017
A reduced-feature poetry classifier
In January 2017, she and Jatinderkumar R. Saini publish online “Automatic Punjabi poetry classification using machine learning algorithms with reduced feature set.” The article appears in volume 5, issue 4 of the journal’s 2016 edition.
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2020
Semantic features for Punjabi poetry
In 2020, she and Jatinderkumar Saini publish a content-based Punjabi poetry classifier. Its SVM reaches 76.02% accuracy using semantic information associated with words.
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2020
Kāvi and Navrasa
In 2020, she and Jatinderkumar R. Saini publish Kāvi, an annotated Punjabi poetry corpus for emotion detection based on Navrasa.
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2022
Deep learning for poetry themes
In 2022, she and Jatinderkumar Saini publish a deep-learning, multi-category thematic classifier for Punjabi poetry as a chapter in Applied Computational Technologies.
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2023
Sessional lecturer at Saskatchewan
In 2023, she is a sessional lecturer in the Department of Computer Science at the University of Saskatchewan.
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September 2026
A Punjabi sarcasm model
In September 2026, she and Amarjit Gill publish a study on sarcasm detection in Punjabi social media text using the PunjSarc dataset and Hybrid mT5-LSTM. Their model reaches 94.29% accuracy on the original data.
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As of October 2026
ICICAI program committee
She serves on ICICAI's International Program Committee and is affiliated with the University of Saskatchewan.
Career
- Since 2023University of SaskatchewanSessional lecturer
- 2019–2023P P Savani University
- 2015–2017Uka Tarsadia University
Most-cited works
- Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles
- Punjabi Poetry Classification
- Kāvi: An Annotated Corpus of Punjabi Poetry with Emotion Detection Based on ‘Navrasa’
- Punjabi Stop Words
- Designing Punjabi Poetry Classifiers Using Machine Learning and Different Textual Features
Sources and credits
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- Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles
- Automatic Punjabi poetry classification using machine learning algorithms with reduced feature set
- Designing Punjabi Poetry Classifiers Using Machine Learning and Different Textual Features
- Rankless | Jatinderkumar R. Saini
- Bibliographies: 'Hybrid deep-STTF feature learning' – Grafiati
- Research Fest 2023 – Computer Science Graduate Council (CSGC)
- AI Learns to Spot Sarcasm in Punjabi, Boosting Consumer Insight
- Committee | ICICAI-2026