Jethva Utsav
ABSTRACT
Social media sites such as Twitter, Facebook, and many other microblogging forums have emerged as a platform for people to express their opinions and perspectives on different events. People often tend to take a stance; in favor, against or neutral towards a particular topic on these platforms. Hindi and English are the most widely used languages on social media platforms in India, and the user predominantly expresses their opinions in Hindi-English code-mixed texts. As a result, knowing the diverse opinions of the masses is difficult. We target to classify Hindi-English code-mixed tweets based on their stance. A dataset consisting of 3545 English-Hindi code-mixed tweets with Demonetisation in the target is used in the experiments so far. We present a new stance annotated dataset of English-Hindi 4219 code-mixed tweets with the abrogation of article 370 in focus.
- Irshad Bhat, Riyaz A Bhat, Manish Shrivastava, and Dipti Sharma. 2017. Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, Vol. 2. 324--330.Google Scholar
Cross Ref
- Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, and Dipti Misra Sharma. 2018. Universal Dependency Parsing for Hindi-English Code-switching. CoRR abs/1804.05868 (2018). arXiv:1804.05868 http://arxiv.org/abs/1804.05868Google Scholar
- Sushmitha Reddy Sane, Suraj Tripathi, Koushik Reddy Sane, and Radhika Mamidi. 2019. Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning. In Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 1--5.Google Scholar
- Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, and Manish Shrivastava. 2018. An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System. CoRR abs/1805.11868 (2018). arXiv:1805.11868 http://arxiv.org/abs/1805.11868Google Scholar
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