Artificial Intelligence & Natural Language Processing Tools

HeinOnline has implemented artificial intelligence and natural language processing tools to help both novice and experienced researchers make the most of its content. Using custom concepts specific to HeinOnline’s incredible scope and range of content, these tools aim to vastly improve discoverability of relevant content.

In the more than 20 years of HeinOnline’s growth, our content has expanded beyond law reviews to include scholarly journals and government documents that apply to nearly any discipline. In recent years, this multidisciplinary content has become essential to a variety of different academic and applied fields.

HeinOnline’s built-in Author Profile Pages highlight the scholarly work of authors throughout its databases by compiling each author’s publications, biographical information, ScholarCheck statistics, and more in one handy-dandy place.

Two months ago, new natural language processing and machine learning tools were released in beta format in HeinOnline’s Law Journal Library. These tools are now available in three more databases: ABA Law Library Collection Periodicals, Bar Journals Library, and Kluwer Law International Journal Library!

New natural language processing and machine learning tools were released in beta format in HeinOnline’s Law Journal Library. This blog post described the new More Like This tool, as well as new topic and entity application, in detail. Additional features using these concepts are now available.

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.