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Introduction to NLTK

Introduction to NLTK. Text Analytics Giuseppe Attardi Università di Pisa. Installing NLTK. Download and Install http://nltk.org/install.html Download NLTK data >>> import nltk >>> nltk.download (). Jupyter Notebook.

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Introduction to NLTK

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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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