Identifying the Most Frequent Words in Text
Course
260 Learners Already enrolled- Grasp the essentials of handling human language data with the Natural Language Toolkit (NLTK).
- Gain proficiency in text processing through tokenization, stemming, tagging, and parsing techniques.
- Harness the power of list comprehensiveness to streamline text analysis tasks.
- Learn to enhance data visualization by creating telling word clouds.
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There are 1 modules in this course
In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.Chosen by students of top schools
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My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.
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Showing 3 of 4 reviews
Wassim Mefteh
4
Reviewed on Nov 5, 2024
Jared Pechauer
3
Reviewed on Mar 23, 2024
Like others said, this is an interesting topic. I think this course really just shows you some methods that are available but doesn't really challenge you to learn them. Its more of a exploration than a lesson.
Jenna W
4
Reviewed on Jan 24, 2024
Interesting lesson. However, the content is more medium than beginner. Many of the hints provided were confusing and I needed to reference the solutions to move on. Overall, very informative and well done.
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