Sabidhaa A

Leveraging Contextual Embeddings: A BERT-Based Approach to Mitigating Semantic Ambiguity in Digital News

The high rate of growth of the digital false information requires detection systems that are able to address the nuance in the language. The standard paradigms of machine learning (ML), example Support Vector Machines on TF-IDF vectorization, may be characterized by significant weaknesses when dealing with semantic amb...