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Sentiment Analysis, Word Embedding, and Topic Modeling on Venom Reviews

March 4, 2019
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Sentiment Analysis, Word Embedding, and Topic Modeling on Venom Reviews

Introduction With the drastic increase in the availability of text data on the web over the past decade, the field of Natural Language Processing has also had some great strides of advancement at an unprecedented rate. Like many topics in Machine Learning and AI, the rate of advancement in NLP is so fast that even

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Web Scraping Amazon Reviews (March 2019)

March 3, 2019
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Web Scraping Amazon Reviews (March 2019)

Introduction Web Scraping is one of the most common (and sometimes tedious) data collection tasks nowadays in Data Science. It is an essential step in gather data – especially text data – in order to perform various Natural Language Processing tasks, such as Sentiment Analysis, Topic Modeling, and Word Embedding. In this post, we explore

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A Neural Network learns to talk like Michael Scott

June 5, 2018
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A Neural Network learns to talk like Michael Scott

(Read Time: ~5-6 minutes. Image from tumblr.com) I want to start off this post by saying that this post was made possible thanks to Max Woolf (Twitter: @minimaxir) and his Python package textgenrnn, a text generating recurrent neural network that, when trained, can predict the next character (or word) based on a number of previous characters (or

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