Abstract: This paper proposes a benchmark analysis of various similarity metrics and text vectorization methods applied to content-based product recommendation systems in e-commerce. It presents an ...
This project uses machine learning to predict article engagement metrics (Retweets, Likes, and Claps) based on article titles. The model analyzes the linguistic features of article titles and provides ...
To make the repository user-friendly, we decided to stick with - module-like structure. The main modules are cleaning, vectorization, refinement, and merging(each ...
Abstract: This study explores the integration of TF-IDF, count vectorization, and the BERT model within the context of fake review detection. TF-IDF and count vectorization, renowned for their ability ...
Dept. of Computer Science and Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA. Natural language processing (NLP) applications are ubiquitous now, perhaps the most prolific of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results