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|a GBB747117
|2 bnb
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|a 018005421
|2 Uk
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|a 9781782167860
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|a 1782167862
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|a 1782167854
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|a 9781782167853
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|z 9781782167853
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|a DEBBG
|b BV042182664
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|b 882840738
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|b 018005421
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|a (OCoLC)891786402
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|a CL0500000484
|b Safari Books Online
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| 050 |
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4 |
|a QA76.73.P98
|b .P475 2014
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| 072 |
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|a COM
|x 051360
|2 bisacsh
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| 082 |
0 |
4 |
|a 005.133
|2 23
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Perkins, Jacob,
|d 1982-
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| 245 |
1 |
0 |
|a Python 3 text processing with NLTK 3 cookbook :
|b over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0 /
|c Jacob Perkins.
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| 260 |
|
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|a Birmingham, UK :
|b Packt Pub.,
|c 2014.
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| 300 |
|
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|a 1 online resource (1 volume) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 588 |
0 |
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|a Online resource; title from cover (Safari, viewed Sept. 19, 2014).
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| 505 |
0 |
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|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Tokenizing Text and WordNet Basics; Introduction; Tokenizing text into sentences; Tokenizing sentences into words; Tokenizing sentences using regular expressions; Training a sentence tokenizer; Filtering stopwords in a tokenized sentence; Looking up Synsets for a word in WordNet; Looking up lemmas and synonyms in WordNet; Calculating WordNet Synset similarity; Discovering word collocations; Chapter 2: Replacing and Correcting Words; Introduction; Stemming words.
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| 505 |
8 |
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|a Lemmatizing words with WordNetReplacing words matching regular expressions; Removing repeating characters; Spelling correction with Enchant; Replacing synonyms; Replacing negations with antonyms; Chapter 3: Creating Custom Corpora; Introduction; Setting up a custom corpus; Creating a wordlist corpus; Creating a part-of-speech tagged word corpus; Creating a chunked phrase corpus; Creating a categorized text corpus; Creating a categorized chunk corpus reader; Lazy corpus loading; Creating a custom corpus view; Creating a MongoDB-backed corpus reader; Corpus editing with file locking.
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| 505 |
8 |
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|a Chapter 4: Part-of-speech TaggingIntroduction; Default tagging; Training a unigram part-of-speech tagger; Combining taggers with backoff tagging; Training and combining ngram taggers; Creating a model of likely word tags; Tagging with regular expressions; Affix tagging; Training a Brill tagger; Training the TnT tagger; Using WordNet for tagging; Tagging proper names; Classifier-based tagging; Training a tagger with NLTK-Trainer; Chapter 5: Extracting Chunks; Introduction; Chunking and chinking with regular expressions; Merging and splitting chunks with regular expressions.
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| 505 |
8 |
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|a Expanding and removing chunks with regular expressionsPartial parsing with regular expressions; Training a tagger-based chunker; Classification-based chunking; Extracting named entities; Extracting proper noun chunks; Extracting location chunks; Training a named entity chunker; Training a chunker with NLTK-Trainer; Chapter 6: Transforming Chunks and Trees; Introduction; Filtering insignificant words from a sentence; Correcting verb forms; Swapping verb phrases; Swapping noun cardinals; Swapping infinitive phrases; Singularizing plural nouns; Chaining chunk transformations.
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| 505 |
8 |
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|a Converting a chunk tree to textFlattening a deep tree; Creating a shallow tree; Converting tree labels; Chapter 7: Text Classification; Introduction; Bag of words feature extraction; Training a Naive Bayes classifier; Training a decision tree classifier; Training a maximum entropy classifier; Training scikit-learn classifiers; Measuring precision and recall of a classifier; Calculating high information words; Combining classifiers with voting; Classifying with multiple binary classifiers; Training a classifier with NLTK-Trainer; Chapter 8: Distributed Processing and Handling Large Datasets.
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| 590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
| 650 |
|
0 |
|a Python (Computer program language)
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| 650 |
|
0 |
|a Text processing (Computer science)
|
| 650 |
|
0 |
|a Natural language processing (Computer science)
|
| 650 |
|
2 |
|a Word Processing
|
| 650 |
|
2 |
|a Natural Language Processing
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| 650 |
|
6 |
|a Python (Langage de programmation)
|
| 650 |
|
6 |
|a Traitement de texte.
|
| 650 |
|
6 |
|a Traitement automatique des langues naturelles.
|
| 650 |
|
7 |
|a COMPUTERS
|x Natural Language Processing.
|2 bisacsh
|
| 650 |
|
7 |
|a COMPUTERS
|x Programming Languages
|x Python.
|2 bisacsh
|
| 650 |
|
7 |
|a Natural language processing (Computer science)
|2 fast
|
| 650 |
|
7 |
|a Python (Computer program language)
|2 fast
|
| 650 |
|
7 |
|a Text processing (Computer science)
|2 fast
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781782167853/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
| 938 |
|
|
|a Askews and Holts Library Services
|b ASKH
|n AH27082117
|
| 994 |
|
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|a 92
|b IZTAP
|
