Offensive Language Detection Through Text Classification
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.
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Offensive Language Detection Through Text Classification
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.
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Offensive Language Detection Through Text Classification

Offensive Language Detection Through Text Classification

Offensive Language Detection Through Text Classification

Offensive Language Detection Through Text Classification

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Overview

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.

Product Details

ISBN-13: 9786206773627
Publisher: Scholars' Press
Publication date: 07/12/2024
Pages: 80
Product dimensions: 6.00(w) x 9.00(h) x 0.19(d)
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