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Development Data Science Natural Language Processing

Apply Natural Language Processing (NLP) with Python

Learn to use Machine Learning, Spacy & NLTK to conduct Natural Language Processing
Rating: 4.3 out of 54.3 (20 ratings)
7,947 students
Created by Govind Kumar, Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!
Last updated 12/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • You will gain insights on what Natural Language Processing(NLP) is, its Applications & Challenges
  • You will learn Sentence Segmentation, Word Tokenization, Stemming, Lemmatization, Parsing, POS & Ambiguities in NLP
  • You will learn to execute using Machine Learning, NLTK & Spacey
  • You will learn to work with Text Files with Python
  • You will utilize Regular Expressions for pattern searching in text
  • You will use Part of Speech Tagging to automatically process raw text files
  • You will visualize POS and NER with Spacy
  • You will understand Vocabulary Matching with Spacy
  • You will use NLTK for Sentiment Analysis

Course content

5 sections • 5 lectures • 1h 1m total length

  • Preview07:54

  • Preview12:03

  • Ambiguities in NLP
    04:54

  • NLP in action
    17:16

  • Case Studies
    19:38

Requirements

  • Understanding of Python and basics of machine learning

Description

Natural Language Processing (NLP) is a very interesting field associated with AI and is at the forefront of many useful applications like a chatbot. Knowledge of NLP is considered a necessity for those pursuing a career in AI. This course covers both the theory as well as the applications of NLP. Case studies are explained along with a walkthrough of the codes for a better understanding of the subject.


NLP is a subfield of computer science and artificial intelligence concerned with interactions between computers and human (natural) languages. It is used to apply machine learning algorithms to text and speech.

For example, we can use NLP to create systems like speech recognition, document summarization, machine translation, spam detection, named entity recognition, question answering, autocomplete, predictive typing and so on.

Nowadays, most of us have smartphones that have speech recognition. These smartphones use NLP to understand what is said. Also, many people use laptops whose operating system has built-in speech recognition.


Some Examples:

1.Cortana

The Microsoft OS has a virtual assistant called Cortana that can recognize a natural voice. You can use it to set up reminders, open apps, send emails, play games, track flights and packages, check the weather and so on.

2.Siri

Siri is a virtual assistant of the Apple Inc.’s iOS, watchOS, macOS, HomePod, and tvOS operating systems. Again, you can do a lot of things with voice commands: start a call, text someone, send an email, set a timer, take a picture, open an app, set an alarm, use navigation and so on.

3.Gmail

The famous email service Gmail developed by Google is using spam detection to filter out some spam emails.


In this course we will deal with:

a)NLP Introduction:

  • What is NLP

  • Applications of NLP

  • Challenges in NLP


b)Key concepts in NLP:

  • Sentence Segmentation

  • Word Tokenization

  • Stemming

  • Lemmatization

  • Parsing

  • POS

  • Ambiguities in NLP


c)NLP in Action

  • NLTK

  • Sentence Tokenization

  • Word Tokenization

  • Stemming

  • Lemmatization

  • Noise Removal

  • Spacy

  • Parts of Speech Tagging

  • Dependency Parsing

  • Spell Correction

  • Point of View

  • Regular Expressions

  • Flash Text

  • Named Entity Recognition - NER


d)Case studies:

  • Speech recognition

  • Sentiment analysis


You will not only get fantastic technical content with this course, but you will also get access to both our course-related Question and Answer forums, as well as our live student chat channel, so you can team up with other students for projects, or get help on the course content from myself and the course teaching assistants.

All of this comes with a 30-day money back guarantee, so you can try the course risk-free.

What are you waiting for? Become an expert in natural language processing today!

I will see you inside the course,

Govind Kumar

Who this course is for:

  • Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects
  • Python developers interested in learning how to use Natural Language Processing

Instructors

Govind Kumar
Artificial Intelligence and Business Transformation Expert
Govind Kumar
  • 4.4 Instructor Rating
  • 361 Reviews
  • 39,526 Students
  • 16 Courses

Summary:

Over 2 decades of experience managing Technology, Operations and Quality in top MNCs & startups. Held leadership roles and managed businesses across Asia Pacific & Japan region

Expertise: AI, Six Sigma and Innovation

Key Experiences:

Successfully incubated Centers of Excellence for fraud prevention and service analytics.

Significant experience in design thinking based product development and management. Played a critical role in developing products for emerging markets.

Education & Certification:

B. Tech and Full time MBA from top institutes in India

Certifications in six sigma and project management.

Accolades:

Won global awards in the areas of Customer Experience, Leadership Excellence, Quality and Technology.

Featured in the cover of CIO Review Magazine.

Current Role: Founder & CEO of SeaportAI.

Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!
Cybersecurity, Data Science & Human Capital Practitioners!
Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!
  • 4.3 Instructor Rating
  • 1,852 Reviews
  • 271,550 Students
  • 26 Courses

We specialize in Cybersecurity, Data Science and Talent Management/Human capital management training. The USP of all our training's is the hands-on that we provide, our focus is on real-life practical knowledge sharing, and not tool-based PPT slides. All our training's are conducted by highly experienced practitioners who are dyed-in-the-wool penetration testers. The material is cutting edge and updated with even the most recent developments. We have a standard set of courses outlined in different information security domains, data analytics domains and Talent management domain. However, we also customize the training according to the clients’ requirements.

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