Natural Language Processing Driven Categorization
AI-driven Patent Categories – Use of explainable AI for Innovation / Ideation Patent and publication data is crucial for R&D teams. It gives tremendous insights on the market front, competitor trends and innovation, technology trends, and others. However, patent data...
Noise Filtering
Abstract Analyzing patents related to a technology domain is not as easy as it seems. Generally, the standard method for analyzing a technology domain is to formulate multiple search queries to extract patent data sets and then filter the patents...
Patent Data – Accuracy is the key
Abstract As long as it provides actionable insights, patent data analytics is valuable. Such insights can only be obtained if the analysis is correct, and high-quality patent data is a must for accurate patent analytics. One of the primary reasons...
Taxonomy Bot: Are they for real?
Taxonomy Bot: Are they for real? IP professionals often segment patents into different technology categories of interest to have a better understanding of the evolving technology trends and competitors’ activity. Generally, a comprehensive taxonomy is prepared by an expert and...
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