Sentiment Analysis – Unstructured Text Data

This course introduces the fundamental concepts of text analytics and applies different algorithm to determine the sentiment of a given text.

  • icon-data 2 Data Cases
  • icon-reading 2 Readings
  • icon-quiz 3 Quizzes
Sentiment Analysis - Using Unstructured Text Data
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required.

  • Asset 1
    Duration: Approximately 3.5 hours

Course Overview

  • Sentiment analytics is one of the most important part of text analytics where it categorizes each text into the positive, negative or neutral.
  • Learn the concept of text dissimilarity and text distance and apply various techniques to compute the values on text data.
  • Learn all the concepts of sentiment analysis and apply different techniques to determine the sentiment of a text.
  • Gain practical experience by applying the understanding in several real-world business case scenarios.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Text Preprocessing

Lemmatization

Stemming

Stop-Words Removal

TF-IDF

Text Analytics

Text Dissimilarity

Text Distance Measure

Sentiment Analytics

Associated Learning Tracks

Syllabus

This module teaches the basic concepts of Dissimilarity between text documents and how to compute “Distance Measures” between two documents.

This module teaches the basic concepts of sentiment analysis and how to analyse the results of sentiment analysis, to understand the underlying theme in the corpus.

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.

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