no code implementations • LREC 2020 • Arjit Srivastava, Avijit Vajpayee, Syed Sarfaraz Akhtar, Naman jain, Vinay Singh, Manish Shrivastava
The advent of social media has immensely proliferated the amount of opinions and arguments voiced on the internet.
no code implementations • ACL 2019 • Vamshi Krishna Srirangam, Appidi Abhinav Reddy, Vinay Singh, Manish Shrivastava
We present a Telugu-English code-mixed corpus with the corresponding named entity tags.
1 code implementation • WS 2018 • Vinay Singh, Aman Varshney, Syed Sarfaraz Akhtar, Deepanshu Vijay, Manish Shrivastava
In this paper, we introduce a deep learning based classification system for Facebook posts and comments of Hindi-English Code-Mixed text to detect the aggressive behaviour of/towards users.
1 code implementation • WS 2018 • Vinay Singh, Deepanshu Vijay, Syed Sarfaraz Akhtar, Manish Shrivastava
Named Entity Recognition (NER) is a major task in the field of Natural Language Processing (NLP), and also is a sub-task of Information Extraction.
no code implementations • WS 2018 • Aditya Bohra, Deepanshu Vijay, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
Hate speech detection in social media texts is an important Natural language Processing task, which has several crucial applications like sentiment analysis, investigating cyberbullying and examining socio-political controversies.
no code implementations • NAACL 2018 • Deepanshu Vijay, Aditya Bohra, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
Emotion Prediction is a Natural Language Processing (NLP) task dealing with detection and classification of emotions in various monolingual and bilingual texts.
no code implementations • 30 May 2018 • Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
Social media has become one of the main channels for peo- ple to communicate and share their views with the society.
2 code implementations • 30 May 2018 • Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
Social media platforms like twitter and facebook have be- come two of the largest mediums used by people to express their views to- wards different topics.