In this book, we propose a modular text classification pipeline on social media datasets focusing on Twitter. Our proposed approach is to leverage a modular development that allows easy use for combining different text classification components. This work's main contribution is that it presents a new modular text classification pipeline to facilitate benchmarking by conducting a detailed analytical study of the best-performing approaches, features, and embeddings reported by the state-of-the-art.
Author: Naseem Khayum |
Publisher: Scholars' Press |
Publication Date: Jul 12, 2024 |
Number of Pages: 80 pages |
Binding: Paperback or Softback |
ISBN-10: 6206773620 |
ISBN-13: 9786206773627 |