147 citations · 304 across the 35 of their papers we have counts for
9 papers · 1 filter
MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework
Anusha Chhabra, Dinesh Kumar Vishwakarma
Social media has a significant impact on people's lives. Hate speech on social media has emerged as one of society's most serious issues in recent years. Text and pictures are two…
Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods
Anusha Chhabra, Dinesh Kumar Vishwakarma
Social media, particularly Twitter, has seen a significant increase in incidents like trolling and hate speech. Thus, identifying hate speech is the need of the hour. This paper in…
Adversarial Adaptation for French Named Entity Recognition
Arjun Choudhry, Inder Khatri, Pankaj Gupta +4
Named Entity Recognition (NER) is the task of identifying and classifying named entities in large-scale texts into predefined classes. NER in French and other relatively limited-re…
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning
Arjun Choudhry, Inder Khatri, Minni Jain +1
Social networking sites, blogs, and online articles are instant sources of news for internet users globally. However, in the absence of strict regulations mandating the genuineness…
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
Arjun Choudhry, Pankaj Gupta, Inder Khatri +4
Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resource…
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry +3
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for…
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation
Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty +2
Recent works on fake news detection have shown the efficacy of using emotions as a feature or emotions-based features for improved performance. However, the impact of these emotion…
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal +1
Automated movie genre classification has emerged as an active and essential area of research and exploration. Short duration movie trailers provide useful insights about the movie…
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
Ashima Yadav, Dinesh Kumar Vishwakarma
Towards the end of 2019, Wuhan experienced an outbreak of novel coronavirus, which soon spread all over the world, resulting in a deadly pandemic that infected millions of people a…