Identifying the Most Frequent Words in Text
Edoardo Cantagallo
Python
11 Chapters
2 Studying now
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.
Technology
Python
Language
En
Rating
3.8
Chapters
11
Studying now
2
Course description
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.
Reviews
4 ratings
Jared P.
367 days ago
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.
426 days ago
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.
Jordan F.
461 days ago
Good Lesson but seems a bit too complex for beginner...
