Research Library

The top resource for free research, white papers, reports, case studies, magazines, and eBooks.

Share Your Content with Us
on TradePub.com for readers like you. LEARN MORE
Thematic and Entity Tagging with NLP
Request Your Free Guide Now:

"Thematic and Entity Tagging with NLP"

Creating a Robust Tagging Framework with NLP

Content availability is paramount to both research creators and providers as they seek to maintain mind share with clients. A robust framework that applies accurate tags to the most prevalent themes and entities within research documents promotes the discoverability and timely consumption of relevant information.

However, today’s manual and legacy automated tagging approaches fail to address these needs comprehensively. One example is third-party research content that is insufficiently and inconsistently tagged, leading to challenges in the discovery and timely consumption of content.

The Thematic & Entity Tagging Use Case discusses the significant business implications of using a manual or limited tagging methodology. It then shows how NLP models can be used to address these challenges with a review of Amenity’s thematic and entity tagging capabilities.

Access this use case to discover how Amenity's NLP-based system fully leverages research text, not only parsing with a high degree of accuracy, but also adding context and metadata to each extraction. Amenity’s robust tagging framework specializes in classifying thematic and topical content, as well as offers a more detailed targeting of asset classes and other entities than typical tagging platforms.


Offered Free by: Amenity Analytics
See All Resources from: Amenity Analytics

Recommended for Professionals Like You:

Thank you

This download should complete shortly. If the resource doesn't automatically download, please, click here.

Thank you

This download should complete shortly. If the resource doesn't automatically download, please, click here.

Thank you

This download should complete shortly. If the resource doesn't automatically download, please, click here.