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
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Sentiment Analysis is widely used in the area of Machine Learning under Natural Language Processing.
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In this course, you will know how to use sentiment analysis on reviews with the help of a NLP library called TextBlob.
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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
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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.
Can I take my courses with me wherever I go?
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