Sentiment Analysis with NLP using Python and Flask

Sentiment Analysis with NLP using Python and Flask, available at $19.99, has an average rating of 4.55, with 16 lectures, based on 240 reviews, and has 32771 subscribers.

You will learn about Sentiment Analysis Natural Language Processing TextBlob Building WebApps with Flask This course is ideal for individuals who are Beginners who are curious about building projects with Machine Learning and NLP or Python Developers who want to build their first major project in NLP It is particularly useful for Beginners who are curious about building projects with Machine Learning and NLP or Python Developers who want to build their first major project in NLP.

Enroll now: Sentiment Analysis with NLP using Python and Flask

Summary

Title: Sentiment Analysis with NLP using Python and Flask

Price: $19.99

Average Rating: 4.55

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: ₹1,999

Quality Status: approved

Status: Live

What You Will Learn

Sentiment Analysis
Natural Language Processing
TextBlob
Building WebApps with Flask

Who Should Attend

Beginners who are curious about building projects with Machine Learning and NLP
Python Developers who want to build their first major project in NLP

Target Audiences

Beginners who are curious about building projects with Machine Learning and NLP
Python Developers who want to build their first major project in NLP

Sentiment Analysis is widely used in the area of Machine Learning under Natural Language Processing.
In this course, you will know how to use sentiment analysis on reviews with the help of a NLP library called TextBlob.
You will learn and develop a Flask based WebApp that takes reviews from the user and perform sentiment analysis on the same.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to the course

Lecture 2: About the Instructor

Chapter 2: Sentiment Analysis with NLP

Lecture 1: Natural Language Processing

Lecture 2: Sentiment Analysis

Lecture 3: Need of Text Classification with example

Lecture 4: Process of Text Classification

Chapter 3: Starting the project

Lecture 1: What we are building?

Lecture 2: Installations and Resources

Chapter 4: Part-1 (TextBlob)

Lecture 1: Initializing the Project

Lecture 2: Sentiment Analysis with TextBlob

Chapter 5: Part-2 (Flask UI)

Lecture 1: Flask UI-1

Lecture 2: Flask UI-2

Lecture 3: Flask UI-3

Chapter 6: Implementation and Output

Lecture 1: Implementation

Lecture 2: Final Output

Lecture 3: Youtube (Bonus)

Instructors

Yaswanth Sai Palaghat
Content Creator, Teacher & a Life-long learner

Rating Distribution

1 stars: 10 votes
2 stars: 22 votes
3 stars: 50 votes
4 stars: 64 votes
5 stars: 94 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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