Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...

Three NLP techniques were identified in the included studies: sentiment analysis (n=32), topic modelling (n=15) and text classification (n=7). Sentiment analysis was applied to explore associations ...

Abstract: Text Classification is the most widely studied problem area in Natural Language Processing (NLP). BERT is the most popular NLP model based on Transfer Learning with its pre-trained model ...