Contact us

NLP Basic

Language: English

Instructors: Pantech

Validity Period: 30 days

₹599 33.39% OFF

₹399 including GST

Why this course?


NLP is a branch of artificial intelligence that deals with the interaction between computers and human language. It enables machines to read, understand and get meaning from human language. At the end of the course, the participants will gain unlimited exposure and will effectively learn and deploy Natural Language processing techniques.

Total Duration:15Hrs       Modules:2         Assignments:6        Projects – 2

Module 1:  Introduction to NLP & Basics

  1. Introduction to NLP & Basics
  2. Pre-processing techniques
  3. BOW and TF-IDF model creation
  4. Semantic Processing
  5. Web Scraping

Module 2: Use cases with projects

  1. Information extraction using Spacy
  2. OCR
  3. Text Summarization
  4. Word cloud
  5. Recommendation system

Module 1:  Introduction to NLP & Basics

Key Learning Objectives:  This Module will introduce the participants the Overview of NLP and its Application using various techniques like RegEx, Text Encoding etc with LIVE Interactive Sessions and Hands on Programs.

Assignment 1:  Use Reg Ex to find email and phone number in a corpus.

 Lesson 1: Pre-processing techniques

We need to apply various pre-processing steps like Tokenization, stop words removal, Stemming and Lemmatization before you can do any kind of text analytics.

Assignment 2:  Read data from Excel and Text file, create a clean data.

Lesson 2:  BOW and TF-IDF model creation

Create Bag of Words and TF-IDF models.

Assignment 3: Create BOW and TF-IDF model and compare them.

 Lesson 3: Semantic Processing

Learn the techniques and algorithms to understand the meaning of a text in sentence or corpus using Word vector and Word Embeddings.

Assignment 4 -    Find similar words in the corpus.

Lesson 4:  Web Scraping

Using Beautiful soup library, learn how to scrap the content from any website and use it for further analysis.

Project -    Scrap News article, find keywords & Tags and Text analytics.


Module 2: Use cases with projects

Key Learning Objectives:

NLP use cases with live project coding classes.

Lesson 5:  NER for information extraction

Use of Named entity recognition to extract information from corpus.

 Lesson 6: OCR

Perform OCR using Tesseract to convert image/corrupted files to readable digital format.

Assignment 5 – Find and showcase on how to read given images, then apply Tesseract OCR technique.

Project -    Read PDF document, find Sentences and similar sentences, Compare for difference.

Lesson 7: Extractive Text Summarization

Apply summarization techniques by generate meaningful summary from sources like news articles, books, blogs etc.

Assignment 6 – Summarize a new article using NLTK or Genism.

Lesson 8: Word Cloud

Word Cloud is the EDA equivalent for NLP. It helps us to understand how different words are distributed across the documents.

 Lesson 9: Recommendation system

Build a Recommendation system using Genism.


For Related courses

After completing the course, automatically e-certificate will be generated for the participants.



Course Curriculum

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.


Launch your GraphyLaunch your Graphy
100K+ creators trust Graphy to teach online
Pantech E Learning 2024 Privacy policy Terms of use Contact us Refund policy