Identification, Tracking and Impact: Understanding the trade secret of catchphrases
Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh, Mukherjee

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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
