nlp_introduction/preprocessing

NLP Introduction: Text Preprocessing

Text preprocessing is a crucial step in natural language processing (NLP). It involves cleaning and transforming raw text data into a format that can be used for further analysis. Below are some common preprocessing techniques:

• Tokenization: Splitting text into words or sentences.
• Normalization: Converting text to a standard format, such as lowercasing.
• Removing Stopwords: Eliminating common words that do not contribute to the meaning of the text.
• Lemmatization/Stemming: Reducing words to their base or root form.

Text Preprocessing Example

For more information on NLP and text preprocessing, check out our NLP Basics.