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Comprehensive Guide to NLTK for Text Analytics

Learn how to harness NLTK for NLP tasks such as POS tagging, parsing, sentiment analysis, and more. Explore resources like WordNet and Treebanks to enhance your text processing abilities.

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Comprehensive Guide to NLTK for Text Analytics

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  1. Introduction to NLTK Text Analytics Giuseppe Attardi Università di Pisa

  2. Installing NLTK • Download and Install • http://nltk.org/install.html • Download NLTK data >>> import nltk >>> nltk.download()

  3. Jupyter Notebook • Register with your UniPi credentials to activate your free account for a G Suite at: • this page. • Astart your Jupyter Notebook here: • https://attardi-4.di.unipiit:8000/

  4. NLTK

  5. NLTK • Suite of classes for several NLP tasks • Parsing, POS tagging, classifiers… • Several text processing utilities, corpora • Brown, Penn Treebank corpus… • Your data was divided into sentences using ‘punkt’

  6. NLTK • Text material • Raw text • Annotated Text • Tools • Part of speech taggers • Semantic analysis • Resources • WordNet, Treebanks

  7. Linguistic Tasks • Part of Speech Tagging • Parsing • Word Net • Named Entity Recognition • Information Retrieval • Sentiment Analysis • Document Clustering • Topic Segmentation • Classification • Authoring • Machine Translation • Summarization • Information Extraction • Spoken Dialog Systems • Natural Language Generation • Word Sense Disambiguation

  8. ‘import nltk’ • You will need to import the necessary modules to create objects and call member functions • import ~ include objects from pre-built packages • FreqDist, ConditionalFreqDist are in nltk.probability • PlaintextCorpusReader is in nltk.corpus

  9. Basic NLTK usage • Load the notebook ‘Intro to NLTK’ using: • File > Open > Text Anaytics > Intro to NLTK • Explore the examples by advancing through them with the button ►

  10. Exercise 1. • Run examples from Chapter 1 of NLTK book: • http://nltk.googlecode.com/svn/trunk/doc/book/ch01.html

  11. Exercise 2. • Run examples from Chapter 3 of NLTK book • http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html

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