A Product of William S. Hein & Co., Inc.
Close this search box.

New Machine Learning and Natural Language Processing Tools in HeinOnline


HeinOnline has just begun to work on new research tools and concepts that will help both novice and experienced researchers make the most of its content. Using natural language processing and machine learning tools, combined with custom concepts specific to HeinOnline’s incredible scope and range of content, the team aims to vastly improve discoverability of relevant content.

More Like This (Beta)

Two new tools have already been introduced in the Law Journal Library, with plans to eventually expand their reach to all other HeinOnline content.

More Like This uses a program which finds “interesting words” in an article, as determined by an algorithm that analyzes the article’s text. For example, let’s take a look at one of the 100 most cited articles in HeinOnline: Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color from volume 43 of the Stanford Law Review. Click the More Like This button from within this article to view similar articles based on the interesting words found in the original article.

Screenshot of document in HeinOnline highlighting the More Like This search feature

Review the list of similar articles and adjust the boost factor on the interesting words as determined by the More Like This algorithm, or enter new terms to change the scope of the results.

Screenshot of search results for similar articles with Interesting Words boost factor search option highlighted

To see this tool in action, add the word politics to the list of interesting words. Boost it, and then lower the boost factor for the words women and race.

NEW this month: From within the More Like This tool, check out the Topics and Entities buttons.

Click Topics to see a list of article subject designations applied to the article based on similar articles which are already categorized. Click Entities to see a list of locations, people, and organizations mentioned in the article as well as the number of times they are mentioned. In the near future, this information will enable HeinOnline developers to accurately categorize articles and other documents in HeinOnline to enrich article metadata and improve searching and discovery, as well as to extract entity information for additional searching options.

Screenshot of Full Text search in Law Journal Library with search options for Topics and Entities highlighted

Keyword Search Builder (Beta)

The Keyword Search Builder is currently located within the Advanced Search tool in the Law Journal Library, with plans to expand it to all HeinOnline content.

Screenshot of Advanced Search with Keyword Search Builder option highlighted

Enter keywords into one or more boxes and use the boost levels to give more weight to the most important terms in the query.

Screenshot of Keyword Search Builder tool

New developments with these tools and concepts will be announced via our blog and social media accounts! Follow us on Twitter and Instagram, and like us on Facebook.

If you have any questions about this post or about searching and navigating in HeinOnline, contact the dedicated support team at (800) 277-6995, email us, or chat with us!

You Might Also Like
image of a woman on a laptop sitting at a desk
New Features
New Author Profile Feature: Download a Metrics CSV

We are excited to share a new feature that has evolved from countless customer requests. Now you can effortlessly download a CSV of an author’s scholarly works, including their ScholarCheck metrics, straight from author profile pages in HeinOnline.

Like what you see?

There’s plenty more where that came from! Subscribe to the HeinOnline Blog to receive posts like these right to your inbox.

By entering your email, you agree to receive great content from the HeinOnline Blog. HeinOnline also uses the information you provide to contact you about other content, products, and services we think you’ll love.

Like what you're reading? Subscribe to the blog!