000			02082cam a22003137i 4500
001			10908
003			IN-BhIIT
005			20240703182424.0
008			161125t20162016cau 001 0 eng d
020			_a9781484243534
040			_aIN-BhIIT
041			_aeng
082	0	4	_a006.35 _bSAR/T
100	1		_aSarkar, Dipanjan, _eAuthor. _923732
245	1	0	_aText analytics with python : _ba practical real-world approach to gaining actionable insights from your data / _cby Dipanjan Sarkar.
250			_a2nd ed.
260			_aKarnataka : _bApress, _c2019.
300			_axxiv, 674 p. ; _bill. ; _c24 cm
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Natural language basics -- Python refresher -- Processing and understanding text -- Text classification -- Text summarization -- Text similarity and clustering -- Semantic and sentiment analysis.
520			_aThe second edition of this book focuses on Natural Language Processing (NLP) in Python and how to set up a robust environment for text analytics. It introduces state-of-the-art frameworks in NLP, along with Machine Learning and Deep Learning, to solve real-world case studies. The book includes a dedicated chapter on Python for NLP, feature engineering representation methods, and techniques for parsing and processing text data. It also covers text classification, text summarization, text similarity techniques, sentiment analysis, machine learning and deep learning models, semantic analysis, and deep transfer learning. The book will be updated to the latest Python 3.x release, showcasing diverse NLP applications such as classification, clustering, similarity recommenders, topic models, sentiment and semantic analysis.
650		0	_aPython (Computer program language) _92578
650		0	_aNatural language processing (Computer science) _922172
650		7	_aNatural language processing (Computer science) _922172
650		7	_aPython (Computer program language) _92578
650		7	_aText Mining _923733
650		7	_aArtificial intelligence. _9739
942			_cTRB
999			_c13898 _d13898