NLTK: Build Document Classifier & Spell Checker with Python
NLP with Python - Analyzing Text with the Natural Language Toolkit (NLTK) - Natural Language Processing (NLP) Tutorial
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864
students
5.5 hours
content
Feb 2019
last update
$44.99
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What you will learn
NLTK Main Functions: Concordance, Similar, Lexical Dispersion Plot
Text Tokenization
Text Normalization: Stemming & Lemmatization
Text Tagging: Unigram, N-Gram, Regex
Text Classification
Project 1: Gender Prediction Application
Project 2: Document Classification Application
Information Extraction from Text: Chunking, Chinking, Name Entity Recognition
Source Code *.py Files of All Lectures
English Captions for All Lectures
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Related Topics
1175220
udemy ID
4/10/2017
course created date
11/22/2019
course indexed date
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