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Natural Language Processing (NLP) in Python

Applications in Spell Corrections, Sentiment Analysis, Classification, and Semantic Analysis

1 hours+ of total content
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Course Creator: Nirant Kasliwal

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Goals

  • spaCy
  • NLTK
  • Embedding
  • Clustering
  • Classification

Description

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning

  • Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus
  • Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering
  • Hack and build a simple chatbot application in 30 minutes using text clustering
  • Using an NLP project management Framework for estimating timelines and organizing your project into stages

Course Structure

0 lectures 00:00:00 total duration

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Your Course Instructor

Course Instructor Image

Nirant Kasliwal

Python & Machine Learning Instructor

https://nirantk.com/about

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