NLP in Python - Natural Language Processing

Overview

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Natural Language Processing is a very popular field and has lots of applications in our daily life. From typing a message to auto-classification of mails as Spam or not-spam NLP is everywhere.

NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language.
In this course we study about NLP and use the NLP toolkit or NLTK in Python.

Syllabus

Introduction to NLP | Natural Language Processing with Python and NLTK.
NLTK - Introduction | Natural Language Processing with Python and NLTK.
Structured vs Unstructured data | Natural Language Processing with Python and NLTK.
Reading Text Data | Natural Language Processing with Python and NLTK.
Exploring the data | Natural Language Processing with Python and NLTK.
NLP Pipeline for Text data | Natural Language Processing with Python and NLTK.
Removing Punctuation | Pre-processing | Natural Language Processing with Python and NLTK.
Tokenization | Natural Language Processing with Python and NLTK.
Removing stop words | Natural Language Processing with Python and NLTK.
Stemming | Natural Language Processing with Python and NLTK.
Porter Stemmer in Python | Natural Language Processing with Python and NLTK.
Lemmatization in Python | Natural Language Processing with Python and NLTK.
WordNet Lemmatizer in NLTK python | Natural Language Processing with Python and NLTK.
Vectorization in Python | Natural Language Processing with Python and NLTK.
Count Vectorization in Python | CountVectorizer | Natural Language Processing with Python and NLTK.
N-Grams Natural Language Processing | N-Gram NLP | Natural Language Processing with Python and NLTK.
TF-IDF Vectorizer Python | Natural Language Processing with Python and NLTK.
Feature Engineering | Natural Language Processing with Python and NLTK.
Feature Engineering - Feature Creation | Natural Language Processing with Python and NLTK.
Feature Evaluation | Natural Language Processing with Python and NLTK.
Power Transformations | Box-Cox Transformation | Tukey Transformation.
Evaluation Metrics: Accuracy, Precision and Recall | NLP NLTK.