The task is to classify the sentiment of potentially long texts for several aspects. The key idea is to build a modern NLP package which supports explanations of model predictions. The approximated ...
The aim is to classify the sentiments of a text concerning given aspects. We have made several assumptions to make the service more helpful. Namely, the text being processed might be a full-length ...
Abstract: Sentiment analysis is an effective approach to understanding user perceptions of digital learning applications. This study implemented text mining techniques and fine-tuned BERT models to ...
Abstract: This paper addresses the limitations of the Bidirectional Encoder Representations from Transformers (BERT)-Long Short-Term Memory (LSTM) model in semantic understanding and sequence ...
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