This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …

There is a rising concern related to the possible risk of human exposure to nanoparticles
(NPs). Several studies have reported on the transport behavior of NPs in the porous media …

With the advancement in the field of automated recommendations, efficient sentiment
analysis of reviews has become immensely important. This study presents the application of …

Film festivals are a key component in the global film industry in terms of trendsetting,
publicity, trade, and collaboration. We present an unprecedented analysis of the …

Sentiment analysis plays a crucial role in understanding public opinion and user sentiments
in vast amounts of textual data available on the web. In this research paper, we present a …

Sentiment analysis is a tool that assists in better understanding the sentiment behind the
reviews of an individual and allows an organization to make improvements to its goods and …

In this paper, we experiment with sentiment classification models for Icelandic that leverage
machine-translated data for training. We machine translated 50,000 English IMDb reviews …

Sentiment analysis, a key problem in NLP, has enormous relevance in interpreting human
emotions and viewpoints from textual data. With a strong emphasis on the transformative …

With the development in technology and introduction of Web 2.0, Social Media Applications
had a great role in connecting people from across the globe. The popular way of sharing …

We experiment with sentiment classification models for Icelandic that leverage machine-
translated data for training. Since no large sentiment dataset exists for Icelandic, we …