{"product_id":"python-text-mining-perform-text-process","title":"Python Text Mining: Perform Text Process By George, Alexandra","description":"\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(51, 51, 51, 1)\"\u003eNatural 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.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(51, 51, 51, 1)\"\u003e''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.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(51, 51, 51, 1)\"\u003eBy 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.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e1. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eBasic Text Processing Techniques\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e2. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eText to Numbers\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e3. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eWord Embeddings\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e4. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eTopic Modeling\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e5. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eUnsupervised Sentiment Classification\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e6. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eText Classification Using ML\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e7. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eText Classification Using Deep learning\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e8. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eRecommendation engine\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(32, 33, 36, 1)\"\u003e9. \u003c\/span\u003e\u003cspan style=\"background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)\"\u003eTransfer Learning\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57762017444222,"sku":"NW9789389898781","price":34.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9789389898781.jpg?v=1785302126","url":"https:\/\/mediaplace.com\/en-usa\/products\/python-text-mining-perform-text-process","provider":"MediaPlace","version":"1.0","type":"link"}