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NLP-Driven Document Representations for Text Categorization. Empirical Selection of NLP-Driven Document Representations for Text Categorization

Код 912242

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Аннотация к книге "NLP-Driven Document Representations for Text Categorization. Empirical Selection of NLP-Driven Document Representations for Text Categorization"

Text Categorization is the task of assigning predefined labels to textual documents. Current research has been focused on using word based representations called bag-of-words (BOW) with strong statistical learners. Few studies have explored the use of more complex Natural Language Processing (NLP) driven representations based on phrases, proper names and word senses. None of these had definitive results on these features? benefits for text categorization problems. This book studies the use of...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-8364-8841-9
Объём: 76 страниц
Масса: 135 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

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