Sentiment analysis ... 90% of the training data was used for actual training and 10% for validation. This method ensures that each fold maintains the same class proportions as the entire dataset.

The experimental results disclose additionally that two classifiers, namely two class ... sentiment analysis studies concerning public health, COVID-19 and data generated and circulated in social ...

Abstract: Sentiment analysis refers to the automatic collection, aggregation, and classification of data collected online into ... In this paper, we study the task of multi-class classification of ...

This study is an exploratory analysis of applying natural language processing techniques such as Term Frequency-Inverse Document Frequency and Sentiment Analysis on Twitter data. The uniqueness ...

That is, tweets for which we want to infer a sentiment class. In the paper, target tweets relate to tweets about interdisciplinarity, transdisciplinarity, and multidisciplinarity. This script uses the ...