Natural language processing recipes: unlocking text data with machine learning and deep learning using Python
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Apress
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Auf der Coverrückseite: "Shelve in: Databases / general, User level: Beginning - intermediate" |
| Beschreibung: | xxv, 234 Seiten Illustrationen, Diagramme |
| ISBN: | 9781484242667 |
Internformat
MARC
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| 245 | 1 | 0 | |a Natural language processing recipes |b unlocking text data with machine learning and deep learning using Python |c Akshay Kulkarni, Adarsha Shivananda |
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Datensatz im Suchindex
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| adam_text | Table of Contents About the Authors.............................................................................. xiii About the Technical Reviewers................................................................. xv Acknowledgments.................................................................... Introduction........................................................ xvii xix Chapter 1: Extracting the Data.................................................................... 1 Introduction.............................. ........................................................................................ 1 Recipe 1-1. Collecting Data................................................. 3 Problem.......... ............................................................................................................ 3 Solution....................................................................................... ................. .............3 How It Works.............................................................................................................. 3 Recipe 1-2. Collecting Data from PDFs........................................................................ 5 Problem....................................................................................................................... 5 Solution................................................ 5 How It Works........................................ 5 Recipe 1-3. Collecting Data from Word Files..............................................................7
Problem....................................................................................................................... 7 Solution................................... How It Works................. .....7 7 Recipe 1-4. Collecting Data from JSON.......................................................................8 Problem................................ 8 Solution.................................................................................. 8 How It Works.............................................................................................................. 9 v
TABLE OF CONTENTS Recipe 1-5. Collecting Data from HTML..................................................................... 11 Problem......................................................................................................................11 Solution........................................................... 11 How It Works.............................................................................................................11 Recipe 1-6. Parsing Text Using Regular Expressions............................................... 15 Problem.......................................... 16 Solution..................................................................................................................... 16 How It Works............................................................................................................ 16 Recipe 1-7. Handling Strings....................................................................................... 26 Problem..................................................................................................................... 26 Solution..................................................................................................................... 26 How It Works............................................................................................................ 27 Recipe 1-8. Scraping Text from the Web.................................................................... 28 Problem..................................................................................................................... 29
Solution..................................................................................................................... 29 How It Works............................................................................................................ 29 Chapter 2: Exploring and Processing Text Data......................................37 Recipe 2-1. Converting Text Data to Lowercase.......................................................38 Problem..................................................................................................................... 38 Solution..................................................................................................................... 39 How It Works............................................................................................................ 39 Recipe 2-2. Removing Punctuation.......... .................................................................. 41 Problem................... 41 Solution....................... 41 How It Works............................................................................................................ 41 VI
TABLE OF CONTENTS Recipe 2-3. Removing Stop Words........... ......... Problem............................................................................................................. 43 44 Solution..................................................................................................................... 44 How It Works............................................................................................................ 44 Recipe 2-4. Standardizing Text....................................................................................46 Problem..................................................................................................................... 46 Solution..................................................................................................................... 46 How It Works............................................................................................................ 46 Recipe 2-5. Correcting Spelling............................................................. Problem..................................................................... 47 ..48 Solution.....................................................................................................................48 How It Works............................................................................................. 48 Recipe 2-6. Tokenizing Text.......................................................................................... 50 Problem.................................................................................................... 50
Solution.....................................................................................................................50 How It Works............................................................................................................51 Recipe 2-7. Stemming...................................................................................... Problem............................................................. Solution........................................................................................................ 52 ...53 53 How It Works............................................................................................................53 Recipe 2-8. Lemmatizing............................................................................................. 54 Problem.....................................................................................................................55 Solution.....................................................................................................................55 How It Works............................................................................................... 55 Recipe 2-9. Exploring Text Data.................................................................................. 56 Problem.....................................................................................................................56 Solution.....................................................................................................................56 How It
Works............................................................................................................57 vii
TABLE OF CONTENTS Recipe 2-10. Building a Text Preprocessing Pipeline...............................................62 Problem..................................................................................................................... 62 Solution...................... 62 HowItWorks............................................................................................................ 62 Chapter 3: Converting Text to Features................................................... 67 Recipe 3-1. Converting Text to Features Using One Hot Encoding........................ 68 Problem.........;....................................................................................................... 68 Solution..................................................................................................................... 68 HowItWorks.............................. 69 Recipe 3-2. Converting Text to Features Using Count Vectorizing........................ 70 Problem...................................... 70 Solution............. 70 HowItWorks............................................................................................................ 71 Recipe 3-3. Generating N-grams................................................................................ 72 Problem.....................................................................................................................72 Solution................................................................................ 72 How It
Works............................................................................................................ 73 Recipe 3-4. Generating Co-occurrence Matrix..........................................................75 Problem.....................................................................................................................75 Solution..................................................................................................................... 75 HowItWorks............................................................................................................ 75 Recipe 3-5. Hash Vectorizing.......................................................................................78 Problem..................................................................................................................... 78 Solution.....................................................................................................................78 How It Works............................................................................................................ 78 VIII
TABLE OF CONTENTS Recipe 3-6. Converting Text to Features Using TF-IDF....................................... 79 Problem..................................................................................................................... 80 Solution....... ................................................. 80 How It Works............................................................................................... 80 Recipe 3-7. Implementing Word Embeddings...........................................................82 Problem.......................................................................................................... 84 Solution..................................................................................................................... 84 How It Works........................................................................................... 85 Recipe 3-8 Implementing fastText..............................................................................93 Problem.....................................................................................................................93 Solution.....................................................................................................................94 How It Works............................................................................................................ 94 Chapter 4: Advanced Natural Language Processing...................... .......97 Recipe 4-1. Extracting Noun Phrases...................................................................... 100
Problem.............................................................................................................. ....100 Solution...................................................................................................................100 How It Works......................................................................... 100 Recipe 4-2. Finding Similarity Between Texts.........................................................101 Problem...................................................................................................................101 Solution...................................................................................................................101 How It Works..........................................................................................................102 Recipe 4-3. Tagging Part of Speech......................................................................... 104 Problem...................................................................................................................104 Solution...................................................................................................................104 How It Works..........................................................................................................105 ix
TABLE OF CONTENTS Recipe 4-4. Extract Entities from Text.................................................................. 108 Problem............................................................................................................ 108 Solution............................................................................................................ 108 How It Works ....................................................................................................108 Recipe 4-5. Extracting Topics from Text............................................................... 110 Problem............................................................................................................ 110 Solution...........................................................................................................110 How It Works....................................................................................................110 Recipe 4-6. Classifying Text.................................................................................. 114 Problem............................................................................................................ 114 Solution............................................................................................................114 How It Works................................................................................................... 115 Recipe 4-7. Carrying Out Sentiment Analysis..................................................... 119
Problem............................................................................................................119 Solution............................................................................................................119 How It Works....................................................................................................119 Recipe 4-8. Disambiguating Text......................................................................... 121 Problem............................................................................................................121 Solution............................................................................................................121 How It Works....................................................................................................121 Recipe 4-9. Converting Speech to Text................................................................ 123 Problem............................................................................................................123 Solution............................................................................................................123 How It Works....................................................................................................123 Recipe 4-10. Converting Textto Speech............................................................... 126 Problem............................................................................................................126
Solution............................................................................................................126 How It Works................................................................................................... 126 x
TABLE OF CONTENTS Recipe 4-11. Translating Speech........................... .....127 Problem...................................................................................................................127 Solution................................................... 127 How It Works.........................................................................................................128 Chapter 5: Implementing Industry Applications.................... 129 Recipe 5-1. Implementing Multiclass Classification............................................. 130 Problem..................................................................... 130 Solution...................................................................................................................130 How It Works...................................................................... ..130 Recipe 5-2. Implementing Sentiment Analysis...................................................... 139 Problem..................................................................................................................139 Solution...................................... 139 How It Works..........................................................................................................139 Recipe 5-3. Applying Text Similarity Functions.......................................... 152 Problem.......................................................................................................... .......152 Solution...................................................................................... ...152 How It
Works..........................................................................................................152 Recipe 5-4. Summarizing Text Data............................................................. 165 Problem.................................................................................................................. 165 Solution...................................................................................................................165 How It Works...................................................................... 166 Recipe 5-5. Clustering Documents.......................................................................... 172 Problem...................................................................................................................172 Solution.................................................................. 173 How It Works..........................................................................................................173 xi
TABLE OF CONTENTS Recipe 5-6. NLP in a Search Engine.........................................................................180 Problem................................................................................................................... 180 Solution................................................................................................................... 180 How It Works.......................................................................................................... 181 Chapter 6: Deep Learning forNLP.............................................................185 Introduction to Deep Learning......................... 185 Convolutional Neural Networks........................................................................... 187 Recurrent Neural Networks..................................................................................192 Recipe 6-1. Retrieving Information...........................................................................194 Problem................................................................................................................... 195 Solution................................................................................................................... 195 How It Works.......................................................................................................... 196 Recipe 6-2. Classifying Text with Deep Learning................................................... 202
Problem...................................................................................................................203 Solution...................................................................................................................203 How It Works..........................................................................................................203 Recipe 6-3. Next Word Prediction.............................................................................218 Problem.................................................................................................................. 218 Solution...................................................................................................................219 How It Works.......................................................................................................... 219 Index.............................................................................................................229 Xll
|
| any_adam_object | 1 |
| author | Kulkarni, Akshay Shivananda, Adarsha |
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| author_facet | Kulkarni, Akshay Shivananda, Adarsha |
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| author_sort | Kulkarni, Akshay |
| author_variant | a k ak a s as |
| building | Verbundindex |
| bvnumber | BV045422197 |
| classification_rvk | ST 306 |
| classification_tum | DAT 710f |
| ctrlnum | (OCoLC)1088353513 (DE-599)BVBBV045422197 |
| discipline | Informatik |
| format | Book |
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| indexdate | 2024-07-10T08:17:43Z |
| institution | BVB |
| isbn | 9781484242667 |
| language | English |
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| physical | xxv, 234 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
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| publishDateSort | 2019 |
| publisher | Apress |
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| spelling | Kulkarni, Akshay Verfasser (DE-588)1177937689 aut Natural language processing recipes unlocking text data with machine learning and deep learning using Python Akshay Kulkarni, Adarsha Shivananda New York Apress [2019] © 2019 xxv, 234 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Auf der Coverrückseite: "Shelve in: Databases / general, User level: Beginning - intermediate" Automatische Sprachanalyse (DE-588)4129935-8 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Textverstehendes System (DE-588)4284758-8 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 s Automatische Sprachanalyse (DE-588)4129935-8 s Textverstehendes System (DE-588)4284758-8 s Python Programmiersprache (DE-588)4434275-5 s Programmierung (DE-588)4076370-5 s DE-604 Shivananda, Adarsha Verfasser (DE-588)1177938383 aut Erscheint auch als Online-Ausgabe 978-1-4842-4267-4 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030808065&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kulkarni, Akshay Shivananda, Adarsha Natural language processing recipes unlocking text data with machine learning and deep learning using Python Automatische Sprachanalyse (DE-588)4129935-8 gnd Python Programmiersprache (DE-588)4434275-5 gnd Natürliche Sprache (DE-588)4041354-8 gnd Programmierung (DE-588)4076370-5 gnd Textverstehendes System (DE-588)4284758-8 gnd |
| subject_GND | (DE-588)4129935-8 (DE-588)4434275-5 (DE-588)4041354-8 (DE-588)4076370-5 (DE-588)4284758-8 |
| title | Natural language processing recipes unlocking text data with machine learning and deep learning using Python |
| title_auth | Natural language processing recipes unlocking text data with machine learning and deep learning using Python |
| title_exact_search | Natural language processing recipes unlocking text data with machine learning and deep learning using Python |
| title_full | Natural language processing recipes unlocking text data with machine learning and deep learning using Python Akshay Kulkarni, Adarsha Shivananda |
| title_fullStr | Natural language processing recipes unlocking text data with machine learning and deep learning using Python Akshay Kulkarni, Adarsha Shivananda |
| title_full_unstemmed | Natural language processing recipes unlocking text data with machine learning and deep learning using Python Akshay Kulkarni, Adarsha Shivananda |
| title_short | Natural language processing recipes |
| title_sort | natural language processing recipes unlocking text data with machine learning and deep learning using python |
| title_sub | unlocking text data with machine learning and deep learning using Python |
| topic | Automatische Sprachanalyse (DE-588)4129935-8 gnd Python Programmiersprache (DE-588)4434275-5 gnd Natürliche Sprache (DE-588)4041354-8 gnd Programmierung (DE-588)4076370-5 gnd Textverstehendes System (DE-588)4284758-8 gnd |
| topic_facet | Automatische Sprachanalyse Python Programmiersprache Natürliche Sprache Programmierung Textverstehendes System |
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