NLP with NLTK in Python

This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK. We first scrape and clean a long text; create a corpus in NLTK; explore tagged corpora; build basic machine learning POS taggers; finally, we construct a grammar for chunking and tree building. This workshop concentrates of linguistic issues in NLP and text analysis.

Prerequisites: Attendees should either already have a thorough knowledge of Python, or have attended the Python for Everything series. Some familiarity with NLTK would be helpful.

Please install the following packages ahead of the workshop: 

Python 3 (https://www.continuum.io/downloads)

Packages:

• NLTK ( $ pip install nltk) 
• Brown corpus from NLTK ( >>> nltk.download() ) 
• BeautifulSoup ( $ pip install beautifulsoup4)