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A Hybrid Classification Approach using Topic Modeling and Graph Convolution Networks

Text classification has become a key operation in various natural language processing tasks. The efficiency of most classification algorithms predominantly confide in the quality of input features. In this work, we propose a novel multi-class text …

Debunking Fake News by Leveraging Speaker Credibility and BERT Based Model

The exponential growth in fake news and its role in deteriorating general public trust and democratic standards certainly calls for some counter combat approaches. The prediction of chances of news to be fake is deemed to be hard task since most of …

Towards Better Drug Repositioning Using Joint Learning

Drug repositioning offers an economical and efficient alternative to traditional drug discovery. It means that, a drug approved for effect against a particular disease is considered and its applications for novel pharmaceutical purposes are explored …