000			01867nam a22002057a 4500
005			20240210175654.0
008			240210b |||||||| |||| 00| 0 eng d
020			_a9789389898781
082			_a006.35 _bGEO
100			_aGeorge, Alexandra _914228
245			_aPython text mining: _bperform text processing, word embedding, text classification and machine translation
260			_bBPB Publications _aNew Delhi _c2023
300			_axxi, 297 p.
365			_aINR _b799.00
520			_aNatural Language Processing (NLP) has proven to be useful in a wide range of applications. Because of this, extracting information from text data sets requires attention to methods, techniques, and approaches. 'Python Text Mining' includes a number of application cases, demonstrations, and approaches that will help you deepen your understanding of feature extraction from data sets. You will get an understanding of good information retrieval, a critical step in accomplishing many machine learning tasks. We will learn to classify text into discrete segments solely on the basis of model properties, not on the basis of user-supplied criteria. The book will walk you through many methodologies, such as classification, that will enable you to rapidly construct recommendation engines, subject segmentation, and sentiment analysis applications. Toward the end, we will also look at machine translation and transfer learning. By the end of this book, you'll know exactly how to gather web-based text, process it, and then apply it to the development of NLP applications. (https://in.bpbonline.com/products/mastering-text-analysis-using-python?_pos=1&_sid=f45145332&_ss=r&variant=42406218072302)
650			_aText mining _915647
650			_aPython (Computer programming language)
650			_aNatural language processing (Computer science) _915648
942			_cBK _2ddc
999			_c5968 _d5968