Identifying the Most Frequent Words in Text
Cursus
265 Al ingeschreven studenten- 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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Er zijn 1 modules in deze cursus
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.Gekozen door studenten van de allerbest scholen
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Beoordelingen van leerlingen
3.8
4 beoordelingen
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Weergeven 3 van 4 beoordelingen
Wassim Mefteh
4
Beoordeeld op Nov 5, 2024
Jared Pechauer
3
Beoordeeld op 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
Beoordeeld op 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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