Posts about NLTK

Text Normalization for Natural Language Processing in Python

Text Normalization is an important part of preprocessing text for Natural Language Processing. There are several common techniques that we will go over in this post, using the Natural Language Toolkit (NLTK) in Python.

Read More
NER graphic
Named Entity Recognition in Python with Stanford-NER and Spacy

Named Entity Recognition is a common task in Natural Language Processing that aims to label things like person or location names in text data. Today we will look at two examples in Python, using the popular libraries Stanford NLP and Spacy.

Read More
Classifying Fashion Articles with Python and Scikit-learn

Text classification is a popular and important problem that we deal with on a daily basis. I will be creating a text classifier with Python and scikit-learn to filter a collection of articles based on whether or not they are fashion-related or not.

Read More