Natural language processing with NLTK and python

[mitsumi]

Natural language processing with NLTK and python
Duration: 1h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 727 MB
Genre: eLearning | Language: English
Learn and apply all of the fundamental concepts in natural language processing using NLTK

What you'll learn
Natural language processing with NLTK and python
tokenization
named entity extraction
chunking and chinking
text summarization
parts of speech tagging
N-grams

Requirements
students should have some experience with Python
students should be able to download and install NLTK
Description
This course is aimed at people who are new to natural language processing (NLP). The course has two main sections, the first section explains all of the main concepts such as tokenization, parts of speech tagging, named entity extraction and so on with examples and code, the second section looks at ideas like text summarization and sentiment analysis and how we can use the core concepts from part one to solve these problems.

Who this course is for:
people who are new to NLTK (Natural Language Tool Kit and natural language processing)
people who are new to natural language processing

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