Abstract
We have come a long way on our journey through the world of text analytics and natural language processing (NLP). You have seen how to process and annotate textual data to use it for various applications. We have also ventured into the world of machine learning (ML) and built our own multi-class text classification system by leveraging various feature-extraction techniques and supervised machine learning algorithms.
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© 2016 Dipanjan Sarkar
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Sarkar, D. (2016). Text Summarization. In: Text Analytics with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2388-8_5
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DOI: https://doi.org/10.1007/978-1-4842-2388-8_5
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2387-1
Online ISBN: 978-1-4842-2388-8
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