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ELN – Natural Language Processing Giuseppe Attardi

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1 ELN – Natural Language Processing Giuseppe Attardi
Introduction to NLTK ELN – Natural Language Processing Giuseppe Attardi

2 Installing NLTK Download NLTK data Download and Install
Download NLTK data >>> import nltk >>> nltk.download()

3 NLTK

4 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’

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

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

7 Part of Speech Tagging Task: Given a string of words, identify the parts of speech for each word. A man walks into a bar. Det Noun Verb Prep Det Noun

8 POS Tag Usage Surface level syntax. Primary operation Parsing
Word Sense Disambiguation Semantic Role labeling Segmentation Discourse, Topic, Sentence

9 How to do it? Learn from Data. Annotated Data: A man walks into a bar.
Det Noun Verb Prep Det Noun Unlabeled Data: A man walks home. The pitcher issued four walks.

10 POS probabilities Det Noun Verb Prep Adj A 0.9 0.1 man 0.6 0.2 walks
man 0.6 0.2 walks 0.8 into 1 bar 0.7 0.3

11 ‘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

12 Exercise 1. Run examples from Chapter 1 of NLTK book:

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


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