About NLTK: –
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language.
Course Description: –
This course introduces Natural Language Processing (NLP) with the use of Natural Language Tool Kit (NLTK) and Python. Through practical approach, you will get hands-on experience with Natural language concepts and computational linguistics concepts.
Course Outcome: –
On completion of this course, the students will be able to
1.Understand the basic concepts of Natural Language Processing (NLP).
2.Understand how to use the Natural Language Tool Kit.
3.Work with text data using the Natural Language Tool Kit.
4.Load and manipulate your text data.
5.Perform syntax and semantics in natural language processing.
6.Ability to design and analyse various NLP algorithms.
7.Apply various concepts of NLP in other application areas.
Introduction to Natural Language Processing
About Natural Language Toolkit
Getting Started with NLTK
Texts as Lists of Word
List, Indexing list, variables, strings
Fine-Grained Selection of Words
Counting Other Things
Making Decisions and Taking Control
Conditionals, Operating on Every Element, Nested Code Blocks, Looping with Conditions
Accessing Text Corpora and Lexical Resources
Web and Chat Text Corpus
Inaugural Address Corpus
Loading your own Corpus
Processing Raw Text
Accessing Text from the Web
Dealing with HTML
Processing RSS Feeds
Reading Local Files
Finding Word Stems
Segmentation: Sentence Segmentation and Word Segmentation
Writing Results to a File
Learning to Classify Text
Case Study 1: Gender Identification
Case Study 2: Document Classification
1. Basic of any programming knowledge but Python is preferred.
2. Student should have good logical and reasoning skill
Duration & Timings :
Duration – 25 Hours.
Training Type: Online Live Interactive Session.
Access to Class Recordings.
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 5 Weeks. August 31, 2019.
Weekday Session – Mon – Thu 8:30 PM – 10:30 PM EST– 4 Weeks. September 9, 2019.