Skip to Content
Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

Topic modeling for earnings calls

In Chapter 3, Alternative Data for Finance, we learned how to scrape earnings call data from the SeekingAlpha site. In this section, we will illustrate topic modeling using this source. I'm using a sample of some 500 earnings call transcripts from the second half of 2018. For a practical application, a larger dataset would be highly desirable. The earnings_calls directory contains several files, with examples mentioned later.

See the lda_earnings_calls notebook for details on loading, exploring, and preprocessing the data, as well as training and evaluating individual models, and the run_experiments.py file for the experiments described here.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning for Algorithmic Trading - Second Edition

Machine Learning for Algorithmic Trading - Second Edition

Stefan Jansen

Publisher Resources

ISBN: 9781789346411Supplemental Content