OFFENSIVE LANGUAGE DETECTION THROUGH TEXT CLASSIFICATION - Patan Fiza Banu,Naseem Khayum
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Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Patan Fiza Banu, Naseem Khayum |
|---|---|
| Izdevējs | Scholars' Press |
| Izlaides gads | 2024 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786206773627 |