Identification, Tracking and Impact: Understanding the Trade Secret of Catchphrases
Authors: 
Jagriti Jalal, Mayank Singh, 
Arindam Pal, Lipika Dey, Animesh MukherjeeAuthors Info & Claims
Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh MukherjeeAuthors Info & ClaimsPages 67 - 76
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.
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- Identification, Tracking and Impact: Understanding the Trade Secret of Catchphrases
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Published In
August 2020
611 pages
ISBN:9781450375856
DOI:10.1145/3383583
- General Chairs:
- Ruhua Huang,
- Dan Wu,
- Gary Marchionini,
- Program Chairs:
- Daqing He,
- Sally Jo Cunningham,
- Preben Hansen
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Published: 01 August 2020
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JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020
August 1 - 5, 2020
Virtual Event, China
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