Natural language processing with Python Cookbook: over 60 recipes to implement text analysis solutions using deep learning principles
Learn the tricks and tips that will help you design Text Analytics solutions About This Book * Independent recipes that will teach you how to efficiently perform Natural Language Processing in Python * Use dictionaries to create your own named entities using this easy-to-follow guide * Learn how to...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
November 2017
|
| Schlagworte: | |
| Zusammenfassung: | Learn the tricks and tips that will help you design Text Analytics solutions About This Book * Independent recipes that will teach you how to efficiently perform Natural Language Processing in Python * Use dictionaries to create your own named entities using this easy-to-follow guide * Learn how to implement NLTK for various scenarios with the help of example-rich recipes to take you beyond basic Natural Language Processing Who This Book Is For This book is intended for data scientists, data analysts, and data science professionals who want to upgrade their existing skills to implement advanced text analytics using NLP. Some basic knowledge of Natural Language Processing is recommended. What You Will Learn * Explore corpus management using internal and external corpora * Learn WordNet usage and a couple of simple application assignments using WordNet * Operate on raw text * Learn to perform tokenization, stemming, lemmatization, and spelling corrections, stop words removals, and more * Understand regular expressions for pattern matching * Learn to use and write your own POS taggers and grammars * Learn to evaluate your own trained models * Explore Deep Learning techniques in NLP * Generate Text from Nietzsche's writing using LSTM * Utilize the BABI dataset and LSTM to model episodes In Detail Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages; in particular, it's about programming computers to fruitfully process large natural language corpora. This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTK-the leading Python platform for the task. You will come across various recipes during the course, covering (among other topics) natural language understanding, Natural Language Processing, and syntactic analysis. You will learn how to understand language, plan sentences, and work around various ambiguities. You will learn how to efficiently use NLTK and implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master lexical analysis, syntactic and semantic analysis, pragmatic analysis, and the application of deep learning techniques. By the end of this book, you will have all the knowledge you need to implement Natural Language Processing with Python. |
| Beschreibung: | viii, 297 Seiten Illustrationen |
| ISBN: | 178728932X 9781787289321 |
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| 520 | 3 | |a Learn the tricks and tips that will help you design Text Analytics solutions About This Book * Independent recipes that will teach you how to efficiently perform Natural Language Processing in Python * Use dictionaries to create your own named entities using this easy-to-follow guide * Learn how to implement NLTK for various scenarios with the help of example-rich recipes to take you beyond basic Natural Language Processing Who This Book Is For This book is intended for data scientists, data analysts, and data science professionals who want to upgrade their existing skills to implement advanced text analytics using NLP. Some basic knowledge of Natural Language Processing is recommended. | |
| 520 | 3 | |a What You Will Learn * Explore corpus management using internal and external corpora * Learn WordNet usage and a couple of simple application assignments using WordNet * Operate on raw text * Learn to perform tokenization, stemming, lemmatization, and spelling corrections, stop words removals, and more * Understand regular expressions for pattern matching * Learn to use and write your own POS taggers and grammars * Learn to evaluate your own trained models * Explore Deep Learning techniques in NLP * Generate Text from Nietzsche's writing using LSTM * Utilize the BABI dataset and LSTM to model episodes In Detail Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages; in particular, it's about programming computers to fruitfully process large natural language corpora. | |
| 520 | 3 | |a This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTK-the leading Python platform for the task. You will come across various recipes during the course, covering (among other topics) natural language understanding, Natural Language Processing, and syntactic analysis. You will learn how to understand language, plan sentences, and work around various ambiguities. You will learn how to efficiently use NLTK and implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master lexical analysis, syntactic and semantic analysis, pragmatic analysis, and the application of deep learning techniques. By the end of this book, you will have all the knowledge you need to implement Natural Language Processing with Python. | |
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| spelling | Bhavsar, Krishna Verfasser aut Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles Krishna Bhavsar, Naresh Kumar, Pratap Dangeti Birmingham ; Mumbai Packt November 2017 viii, 297 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Learn the tricks and tips that will help you design Text Analytics solutions About This Book * Independent recipes that will teach you how to efficiently perform Natural Language Processing in Python * Use dictionaries to create your own named entities using this easy-to-follow guide * Learn how to implement NLTK for various scenarios with the help of example-rich recipes to take you beyond basic Natural Language Processing Who This Book Is For This book is intended for data scientists, data analysts, and data science professionals who want to upgrade their existing skills to implement advanced text analytics using NLP. Some basic knowledge of Natural Language Processing is recommended. What You Will Learn * Explore corpus management using internal and external corpora * Learn WordNet usage and a couple of simple application assignments using WordNet * Operate on raw text * Learn to perform tokenization, stemming, lemmatization, and spelling corrections, stop words removals, and more * Understand regular expressions for pattern matching * Learn to use and write your own POS taggers and grammars * Learn to evaluate your own trained models * Explore Deep Learning techniques in NLP * Generate Text from Nietzsche's writing using LSTM * Utilize the BABI dataset and LSTM to model episodes In Detail Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages; in particular, it's about programming computers to fruitfully process large natural language corpora. This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTK-the leading Python platform for the task. You will come across various recipes during the course, covering (among other topics) natural language understanding, Natural Language Processing, and syntactic analysis. You will learn how to understand language, plan sentences, and work around various ambiguities. You will learn how to efficiently use NLTK and implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master lexical analysis, syntactic and semantic analysis, pragmatic analysis, and the application of deep learning techniques. By the end of this book, you will have all the knowledge you need to implement Natural Language Processing with Python. Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Automatische Sprachanalyse (DE-588)4129935-8 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s Automatische Sprachanalyse (DE-588)4129935-8 s Deep learning (DE-588)1135597375 s 1\p DE-604 Kumar, Naresh Verfasser (DE-588)1163484288 aut Dangeti, Pratap Verfasser aut 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Bhavsar, Krishna Kumar, Naresh Dangeti, Pratap Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles Python Programmiersprache (DE-588)4434275-5 gnd Automatische Sprachanalyse (DE-588)4129935-8 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4434275-5 (DE-588)4129935-8 (DE-588)1135597375 |
| title | Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles |
| title_auth | Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles |
| title_exact_search | Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles |
| title_full | Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles Krishna Bhavsar, Naresh Kumar, Pratap Dangeti |
| title_fullStr | Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles Krishna Bhavsar, Naresh Kumar, Pratap Dangeti |
| title_full_unstemmed | Natural language processing with Python Cookbook over 60 recipes to implement text analysis solutions using deep learning principles Krishna Bhavsar, Naresh Kumar, Pratap Dangeti |
| title_short | Natural language processing with Python Cookbook |
| title_sort | natural language processing with python cookbook over 60 recipes to implement text analysis solutions using deep learning principles |
| title_sub | over 60 recipes to implement text analysis solutions using deep learning principles |
| topic | Python Programmiersprache (DE-588)4434275-5 gnd Automatische Sprachanalyse (DE-588)4129935-8 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Python Programmiersprache Automatische Sprachanalyse Deep learning |
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