Evaluating the machine learning models based on natural language processing tasks
Meeradevi Meeradevi,
Sowmya B. J.,
Swetha B. N.
Abstract:<span lang="EN-US">In the realm of natural language processing (NLP), a diverse array of language models has emerged, catering to a wide spectrum of tasks, ranging from speaker recognition and auto-correction to sentiment analysis and stock prediction. The significance of language models in enabling the execution of these NLP tasks cannot be overstated. This study proposes an approach to enhance accuracy by leveraging a hybrid language model, combining the strengths of long short-term memory (LSTM) and g… Show more
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