Introduction to Natural Language Processing using Python

Python ecosystem for Natural language processing has evolved in last decade and rich set of open source tools and data sets are now available.

In this session, we will go over basics of Natural language processing along with sample code demonstration and hands on tutorials using following famous python libraries,

  1. NLTK : One of the oldest and famous library for natural language analysis for researchers
  2. Stanford CoreNLP : Production ready NLP library. (Written in java but has many open source python wrappers)
  3. SpaCy: Comparatively new python NLP toolkit marketed as 'Industrial Strength' python library.

Session will introduce the various use cases and basic concepts related to the natural language processing with demo and hands on tutorials

Following NLP fundamentals will be discussed,

- Syntax Vs. Semantics

- Regular Expressions (Demo and Hands on)

- Word Embeddings (Demo and Hands on)

- Word Tokenization (Demo and Hands on)

- Part of Speech Tagging (Demo and Hands on)

- Text Similarity (Demo and Hands on)

- Text Summarization

- Named Entity Recognition ((Demo and Hands on))

- Sentiment Analysis (Demo and Hands on)

 
 

Outline/Structure of the Workshop

Session will introduce NLP concepts using Jupyter notebooks and participants will do hands on by coding along.

Details of the NLP topics and libraries are covered in the abstract

Learning Outcome

1. NLP Basics

2. Strengths and weaknesses of Python NLP libraries

3.How to use python libraries for NLP

Target Audience

Anyone interesting in learning basics of NLP and getting hands dirty with python

Prerequisites for Attendees

Should know basics of Python

schedule Submitted 2 years ago

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