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

2. Installing NLTK Download NLTK data Download and Install
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:

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 Tools Resources Raw text Annotated Text
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:

11. Exercise 2. Run examples from Chapter 3 of NLTK book