PyData Seattle 2017 - Presentation: Using Scattertext and the Python NLP Ecosystem for Text Visualization

Using Scattertext and the Python NLP Ecosystem for Text Visualization

Audience level:

Intermediate

Description

Scattertext is a Python package that lets you compare and contrast how words are used differently in two types of documents, producing interactive, Javascript-based visualizations that can easily be embedded into Jupyter Notebooks. Using spaCy and Empath, Scattertext can also show how emotional states and words relating to a particular topic differ.

Abstract

Check out the video of the talk: https://www.youtube.com/watch?v=H7X9CA2pWKo.

Notebooks and presentation for this talk are available from https://github.com/JasonKessler/Scattertext-PyData.

Motivation and introduction

What's the matter with word clouds?
How to read a plot made by Scattertext

How to make your own plots

Preparing a Pandas data frame with your data set
Plotting with Scattertext, and fine tuning plots for interpretability and speed

Scattertext and the Python NLP ecosystem

Visualizing emotions using Empath.
Using word vectors from spaCy and elsewhere see how topic-specific language differs.
Visualizing topic models from scikit-learn.

Thursday 10:00 AM–10:45 AM in Track 2 - Kodiak

Using Scattertext and the Python NLP Ecosystem for Text Visualization

Jason Kessler

Description

Abstract

Motivation and introduction

How to make your own plots

Scattertext and the Python NLP ecosystem

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