Natural Language Processing

This learning track introduces the fundamental concepts of text analytics, starting with preprocessing techniques like Text Data Cleansing, Text Visualization, and apply various Text Clustering, and Text Classification models to perform Sentiment Analysis on relevant Business problems.

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Natural Language Processing
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    Difficulty: Intermediate

    Foundational education or some experience is recommended

  • Asset 1
    Duration: Approximately 5 Weeks

    Suggested learning pace is 5hr/week

Course Overview

  • Learn the basics of text analytics through different text preprocessing techniques like lemmatization, vectorization, stop-words removal etc. to obtain clean text data suitable for modelling.
  • Learn how to apply various classification and clustering algorithms to processed text data and obtain different insights with respect to the underlying sentiment.
  • Learn how to apply the concepts learned on live data across industries to perform Sentiment Analysis.
  • Learn Text Processing using Python.

What’s included


Shareable Certificate

Earn a sharable certificate upon completion


Lifetime Access

Access this learning track for life once completed


Flexible Scheduling

Start learning online immediately, at your own pace


Desktop Only

We recommend completing this learning track on a desktop

Skills You Will Learn

Natural Language Processing

Text Preprocessing

Text Mining

Text Visualization


Clustering Models

Sentiment Analysis

Classification Models


  • Introduction to Natural Language Processing (NLP)
  • Mining Text Data Cleansing, Treatment, Structural Representation & Visualization
  • Introduction to Text Processing in Python
  • Text Analytics – Classification and Clustering
  • ML Models for Text Data in Python
  • Sentiment Analysis – Using Unstructured Text Data
  • Sentiment Analysis in Python

  • Exploratory Data Analysis on Spam Text Classification
  • Application of Text Classification on Women’s E-Commerce Clothing Reviews
  • Predictive Modelling for Fake News Detection Using NLP Techniques
  • Application of Various Text Clustering Techniques on Customer Feedback Data
  • Customer Sentiment analysis for an e-commerce retailer
  • Customer Sentiment Analysis in Insurance claims processing
  • Sentiment Analysis on Movies Review Data – Application of Text Analytics
  • Sentiment Analysis and Root Cause Analysis for Production Reviews of Headphones through Text Logs
  • Analyzing Drugs usage Reviews using NLP Techniques

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Learner Outcomes

Complete learning tracks to earn sharable certificates and badges. These awarded items will look great in your portfolio as you showcase your skills, projects, and experience to employers and colleagues.


  • Gain a deep understanding of text analytics and understand how to process raw text data through techniques like vectorization, lemmatization etc.
  • Understand and apply classification models to perform text classification.
  • Ability to apply different ML models to perform sentiment analysis like predicting customer reviews etc.
  • Interpret and visualize the outcome of the various applied techniques.

“Rolai provides contextual upskilling opportunities … on one single platform.”

Sundar Ramamoorthy
Managing Director of Solutions.AI, Global Products & Delivery Lead at Accenture

“An excellent tool for anyone who wants to quickly learn the ropes.”

Sanket Kawde
Head Data and Analytics at CitiBank India

“Rolai is the best program available for someone looking to enhance their skills”

Connor McEachron
Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development

“The courses were excellent and covered topics that I didn’t expect”

Aadarsha G
Student At Ohio Wesleyan University
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Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.

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