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5 Students
27 Lessons
Beginner

What Will You Learn?

  • Learn Python NLTK Library
  • Learn Applications of NLP
  • Learn Text Pre-processing
  • Learn Stemming, Lemmatization, Part of Speech Tagging
  • And Much More....

Curriculum

2h 34m
Section 1: Introduction
33:33
Applications of NLP
06:35
Basic Python - String
06:05
Basic Python - Functions
02:40
Installing NLTK
09:15
Section 2: Text Wrangling and Cleansing
44:59
What is Text Wrangling?
07:29
Text Cleansing
03:17
Sentence Tokenization
08:40
Word Tokenization
04:28
Stemming
06:41
Lemmatization
05:41
Stemming vs. Lemmatization
05:13
Stop Words Removal
03:30
Section 3: Part of Speech Tagging
35:49
What is Part of Speech Tagging?
04:01
NLTK POS Tagger
02:33
Sequential Tagger - Part 1
04:13
Sequential Tagger - Part 2
10:28
Named Entity Recognition (NER)
04:08
Practice
10:26
Section 4: Building NLP Applications
32:22
Topic Modeling
17:13
Text Summarization
10:20
Sentiment Analysis
04:49
Section 5: Conclusion
07:18
NLTK vs. SpaCy
07:18
Resources

Description

Requirements

  • Basic Python
  • An Internet Connection
  • Willingness to Learn

About the Instructor

Reviews 0
Students 0
Courses 2

I have a PhD in computer science. I am currently working as a postdoc research fellow. I am doing research on social media analysis. I have published several academic papers. I have created researchandgo.com to help student doing research. I have also published couple of application on Google Play store.

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