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Text Analytics with Python A Practitioner's Guide to Natural Language Processing-Second Edition
Penulis: Dipanjan Sarkar •
Identifier: --dipanjansa-1734
Data is the new oil and unstructured data””especially text, images, and videos””contains a wealth of information. However, due to the inherent complexity in processing and analyzing this data, people often refrain from spending extra time and effort venturing out from structured datasets to analyze these unstructured sources of data, which can be a potential gold mine. Natural language processing (NLP) is all about leveraging tools, techniques, and algorithms to process and understand natural language-based data, which is usually unstructured like text, speech, and so on. In this book, we will be looking at tried and tested strategies””techniques and workflows””that can be leveraged by practitioners and data scientists to extract useful insights from text data.