Natural Language Processing (NLP)

Dive into the world of text data and learn how textual information is represented digitally.

Learn the process of breaking down text into meaningful units called tokens.

Explore the role of stop words in NLP and how they are filtered out to improve text analysis.

Explore the process of reducing words to their root forms in NLP.

Explore the process of reducing words to their base or dictionary form, focusing on lemmatization in NLP.

Explore the Bag of Words model in NLP, focusing on converting text into numerical features.

Explore the intricacies of TF-IDF in Natural Language Processing, focusing on how word importance is weighted within a text.

Explore how sentiment analysis works within NLP, focusing on detecting emotional tone in text.

Explore the intricacies of identifying entities within text using NLP techniques.