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LDR04450cmm u2200445M 4500
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003OCoLC
00520230525183833
006m d
007cr |n|||||||||
008200903s2020 xx o 0|| 0 eng d
019 ▼a 1196251511
020 ▼a 9781800200807 ▼q (electronic bk.)
020 ▼a 1800200803 ▼q (electronic bk.)
020 ▼z 1800208421
020 ▼z 9781800208421
035 ▼a 2581635 ▼b (N$T)
035 ▼a (OCoLC)1192307401 ▼z (OCoLC)1196251511
040 ▼a YDX ▼b eng ▼c YDX ▼d EBLCP ▼d N$T ▼d 248032
049 ▼a MAIN
050 4 ▼a QA76.9.N38
08204 ▼a 006.35 ▼2 23
24500 ▼a NATURAL LANGUAGE PROCESSING WORKSHOP - ▼h [electronic resource] : ▼b design and build nlp projects.
260 ▼a [S.l.] : ▼b PACKT PUBLISHING LIMITED, ▼c 2020.
300 ▼a 1 online resource
5050 ▼a Cover -- FM -- Copyright -- Table of Contents -- Preface -- Chapter 1: Introduction to Natural Language Processing -- Introduction -- History of NLP -- Text Analytics and NLP -- Exercise 1.01: Basic Text Analytics -- Various Steps in NLP -- Tokenization -- Exercise 1.02: Tokenization of a Simple Sentence -- PoS Tagging -- Exercise 1.03: PoS Tagging -- Stop Word Removal -- Exercise 1.04: Stop Word Removal -- Text Normalization -- Exercise 1.05: Text Normalization -- Spelling Correction -- Exercise 1.06: Spelling Correction of a Word and a Sentence -- Stemming -- Exercise 1.07: Using Stemming
5058 ▼a Lemmatization -- Exercise 1.08: Extracting the Base Word Using Lemmatization -- Named Entity Recognition (NER) -- Exercise 1.09: Treating Named Entities -- Word Sense Disambiguation -- Exercise 1.10: Word Sense Disambiguation -- Sentence Boundary Detection -- Exercise 1.11: Sentence Boundary Detection -- Activity 1.01: Preprocessing of Raw Text -- Kick Starting an NLP Project -- Data Collection -- Data Preprocessing -- Feature Extraction -- Model Development -- Model Assessment -- Model Deployment -- Summary -- Chapter 2: Feature Extraction Methods -- Introduction -- Types of Data
5058 ▼a Categorizing Data Based on Structure -- Categorizing Data Based on Content -- Cleaning Text Data -- Tokenization -- Exercise 2.01: Text Cleaning and Tokenization -- Exercise 2.02: Extracting n-grams -- Exercise 2.03: Tokenizing Text with Keras and TextBlob -- Types of Tokenizers -- Exercise 2.04: Tokenizing Text Using Various Tokenizers -- Stemming -- RegexpStemmer -- Exercise 2.05: Converting Words in the Present Continuous Tense into Base Words with RegexpStemmer -- The Porter Stemmer -- Exercise 2.06: Using the Porter Stemmer -- Lemmatization -- Exercise 2.07: Performing Lemmatization
5058 ▼a Exercise 2.08: Singularizing and Pluralizing Words -- Language Translation -- Exercise 2.09: Language Translation -- Stop-Word Removal -- Exercise 2.10: Removing Stop Words from Text -- Activity 2.01: Extracting Top Keywords from the News Article -- Feature Extraction from Texts -- Extracting General Features from Raw Text -- Exercise 2.11: Extracting General Features from Raw Text -- Exercise 2.12: Extracting General Features from Text -- Bag of Words (BoW) -- Exercise 2.13: Creating a Bag of Words -- Zipf's Law -- Exercise 2.14: Zipf's Law -- Term Frequency-Inverse Document Frequency (TFIDF)
5058 ▼a Exercise 2.15: TFIDF Representation -- Finding Text Similarity -- Application of Feature Extraction -- Exercise 2.16: Calculating Text Similarity Using Jaccard and Cosine Similarity -- Word Sense Disambiguation Using the Lesk Algorithm -- Exercise 2.17: Implementing the Lesk Algorithm Using String Similarity and Text Vectorization -- Word Clouds -- Exercise 2.18: Generating Word Clouds -- Other Visualizations -- Exercise 2.19: Other Visualizations Dependency Parse Trees and Named Entities -- Activity 2.02: Text Visualization -- Summary -- Chapter 3: Developing a Text Classifier -- Introduction
590 ▼a Master record variable field(s) change: 050, 082, 650 - OCLC control number change
650 0 ▼a Natural language processing (Computer science)
655 0 ▼a Electronic books.
655 4 ▼a Electronic books.
77608 ▼c Original ▼z 1800208421 ▼z 9781800208421 ▼w (OCoLC)1162875810
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2581635
938 ▼a YBP Library Services ▼b YANK ▼n 301482209
938 ▼a ProQuest Ebook Central ▼b EBLB ▼n EBL6349569
938 ▼a EBSCOhost ▼b EBSC ▼n 2581635
990 ▼a 관리자
994 ▼a 92 ▼b N$T