Identification, Tracking and Impact: Understanding the trade secret of catchphrases

TL;DR

This paper introduces an unsupervised method for extracting catchphrases from patent abstracts, improving accuracy, and analyzes how catchphrase evolution correlates with innovation and future patent citations.

Contribution

It presents a novel unsupervised approach for catchphrase extraction and provides an empirical analysis of how catchphrase evolution relates to organizational innovation and patent impact.

Findings

Proposed method outperforms existing techniques in precision and recall.

Catchphrase introduction correlates with future patent citations.

Temporal analysis reveals patterns in innovation evolution.

Abstract

Understanding the topical evolution in industrial innovation is a challenging problem. With the advancement in the digital repositories in the form of patent documents, it is becoming increasingly more feasible to understand the innovation secrets -- "catchphrases" of organizations. However, searching and understanding this enormous textual information is a natural bottleneck. In this paper, we propose an unsupervised method for the extraction of catchphrases from the abstracts of patents granted by the U.S. Patent and Trademark Office over the years. Our proposed system achieves substantial improvement, both in terms of precision and recall, against state-of-the-art techniques. As a second objective, we conduct an extensive empirical study to understand the temporal evolution of the catchphrases across various organizations. We also show how the overall innovation evolution in the form of introduction of newer catchphrases in an organization's patents correlates with the future citations received by the patents filed by that organization. Our code and data sets will be placed in the public domain soon.