IEEE

Sentiment Analysis on Play Store Application Reviews Using BERT Model

Abstract: Sentiment analysis is an essential task in natural language processing (NLP) that has various applications ranging from product reviews to social media monitoring. Traditional approaches ...
IEEE

Sentiment Analysis on Social Media Using Discrete Hopfield Networks Optimized by Black Hole Algorithm and Enhanced BERT*

Abstract: Sentiment analysis on social media identifies user’s emotions by analysing text to classify opinions as positive, negative, or neutral. A lexicon based embedding with Optimized deep learning ...
The Washington Post

TikTok’s mental health ‘rabbit hole’? It’s not in your head.

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...
Frontiers

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...
GitHub

bag-of-words

Comparative analysis of traditional machine learning models (Naive Bayes, Logistic Regression, Random Forest) and deep learning models (DNN, LSTM) for sentiment classification of Amazon product ...