09.natural language processing

Natural language processing is a field of machine learning that focuses on creating models from a text data source (straight from articles of words).

Examples of NLP

• Clustering News Articles
• Suggesting similar books
• Grouping legal documents
• Analyzing consumer feedback
• Spam Email Detection

Basic process of any NLP task:

• Compile all documents
• Featurize the words to numerics
• Compare features of documents

A standard way of doing this is through the use of what is known as 'TF-IDF' methods.
'TF-IDF' stands for term frequency inverse documented frequency.