Use of Natural Language Processing, Machine Learning and Sentiment Analysis towards Data Science
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
In this course the students will learn the basics of text mining and will build on it to perform document categorization, document grouping and sentiment analysis.
The practicals are carried out in Python language, Natural Language Processing (NLP) is used for pre-processing
Starting from a very small dummy dataset, we migrate to existing databases and then to building a database of your own to performed text mining tasks
Sentiment analysis of user hotel reviews
This comprehensive Project based Text Mining in Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Project based Text Mining in Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Taimoor khan
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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