Hands-On NLP

These are tutorials that teach you how to accomplish something using unstructured data. For example, extracting topics from text.

Classify news articles with logistic regression and python

Build Your First Text Classifier in Python with Logistic Regression

Text classification is the automatic process of predicting one or more categories given a piece of text. For example, predicting if an email is legit or spammy. Thanks to Gmail’s spam classifier, I don’t see or hear from spammy emails! Other than spam detection, text classifiers can be used to determine sentiment in social media …

Build Your First Text Classifier in Python with Logistic Regression Read More »

Easily Access Pre-trained Word Embeddings with Gensim

What are pre-trained embeddings and why? Pre-trained word embeddings are vector representation of words trained on a large dataset. With pre-trained embeddings, you will essentially be using the weights and vocabulary from the end result of the training process done by….someone else! (It could also be you) One benefit of using pre-trained embeddings is that …

Easily Access Pre-trained Word Embeddings with Gensim Read More »