2019
DOI: 10.48550/arxiv.1910.14258
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Towards a Predictive Patent Analytics and Evaluation Platform

Nebula Alam,
Khoi-Nguyen Tran,
Sue Ann Chen
et al.

Abstract: The importance of patents is well recognised across many regions of the world. Many patent mining systems have been proposed, but with limited predictive capabilities. In this demo, we showcase how predictive algorithms leveraging the state-of-the-art machine learning and deep learning techniques can be used to improve understanding of patents for inventors, patent evaluators, and business analysts alike. Our demo video is available at http://ibm.biz/ecml2019-demo-patent-analytics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…The paper [20] presents a structure reliant upon current computer-based intelligence techniques, or rather on farsighted procedures, for a bare essential portrayal of the actual substance of licenses. This will allow the client to see better what a patent application includes, its fundamental components, etc.…”
Section: International Journal Of Research In Science and Technologymentioning
confidence: 99%
“…The paper [20] presents a structure reliant upon current computer-based intelligence techniques, or rather on farsighted procedures, for a bare essential portrayal of the actual substance of licenses. This will allow the client to see better what a patent application includes, its fundamental components, etc.…”
Section: International Journal Of Research In Science and Technologymentioning
confidence: 99%