Gain insights into text preprocessing with Python. Explore text cleaning, normalization, and advanced techniques like BoW and TF-IDF. Discover skills to handle unstructured data effectively for NLP.

Dockerfile.tar.gz

Text Processing

This course is designed to empower you with essential skills for effectively handling text data in the context of natural language processing (NLP). You’ll embark on a transformative journey that will equip you with a solid foundation in text manipulation, enabling you to tackle the challenges of unstructured data. 

The course discusses both fundamental and advanced text preprocessing techniques. You’ll learn how to clean text and remove noise, irrelevant characters, and inconsistencies in text data. Once the data is ready for analysis, you’ll learn text normalization techniques such as stemming, lemmatization, and casing. In addition to mastering preprocessing fundamentals, you’ll also learn techniques such as bag-of-words (BoW) and term frequency-inverse document frequency (TF-IDF).

By the end of the course, you’ll be able to position yourself for success in a data-centric world where the ability to extract meaning from unstructured textual information is a prized skill.

Text Preprocessing with Python

What's the primary purpose of regular expressions?

What’s the primary purpose of regular expressions?

One or more occurrences of the preceding element

Zero or one occurrence of the preceding element

Exact number of occurrences of the preceding element

Zero or more occurrences of the preceding element

What does the  `*` metacharacter represent in regex?

What does the <code>*</code> metacharacter represent in regex?

Which fundamental regex element do we use to match any single character?

Which fundamental regex element do we use to match any single character?

To match a specific position in the string

What's the purpose of backreferences in regular expressions?

What’s the purpose of backreferences in regular expressions?

Which regex element do we use to match a specific number of occurrences of a preceding character?

Which regex element do we use to match a specific number of occurrences of a preceding character?

Which regex element do we use to match one or more occurrences of a preceding character?

Which regex element do we use to match one or more occurrences of a preceding character?

Test yourself on what you’ve learned about regular expressions.


About This Course

Introduction To Text Preprocessing

Regular Expressions

Irrelevant Text Data

Basic Text Preprocessing Techniques

Indexing

Text Transformation

Text Representation

Text Feature Engineering

Advanced Text Preprocessing

N-grams

Text Classification of Customer Reviews

Conclusion

Text Classification Using PyTorch

Quiz: Regular Expressions