Shell Co.
STIMAnalytics | Patent Asset Report | Company
This report provides an analysis of the patent asset of Shell Co. We examined 13857 patents from Shell. The report is divided into three main sections as follows.
1- Technology Analysis
This section applies machine learning algorithms and artificial intelligence to analyze the text of patents and categorize them into different conceptual groups. It also displays the distribution and trend of patents by year and their content similarity. This section includes the following subsections:
• Topic Modeling
• Topic Modeling by Year
• Topic Trend
• Clustering
2- Patent Family
This section intends to examine the patenting process, the geographical distribution and the main applicants of the patents. It also shows the patenting strategies of Shell in general. Furthermore, this section splits the patents into four levels based on their technical features. This section contains the following:
• Patent Family Growth
• Patent Family Growth by Jurisdiction
• Top Technologies
• Top Technologies by Jurisdiction
3- Technology Trend
This section showcases the top patents in this field in two periods: from 1990 onwards and in the last 5 years.It enumerates the key patents as well as the emerging technologies of Shell Co. in this field. This section comprises the following subsections:
• Key Patents
• Key Patents in Recent 5 Years
• Emerging Technologies
This report consists of a 60-page written document and a 40-slide pdf presentation. Additionally, an excel file with all the possible tables and figures will be provided.
This report was produced by the AI-Powered service of STIMAnalytics and reviewed by technical experts who work with us.
1- Introduction
2- Technology at a Glance
3- Technology Summary
4- Family Analysis
• Growth of patent family
• Growth of patent family by Jurisdiction
• Top technologies
• Top technologies by jurisdiction
5- Technology Trend
• Forward citation
• Key patents
• Key patents in recent 5 years
• Emerging Technologies
6- Technology Analysis
• Topic modeling
• Topic Modeling by year
• Topic trend
• Clustering
Data Collection
We selected the data of 13857 patents using a query that covers all patents by Sabic Co. The patenting strategy of Sabic was analyzed.
Data Analysis
We applied some sophisticated machine learning algorithms such as LDA and BERT for topic modeling and KMeans for clustering. We also performed other descriptive analytics to increase the reliability of the results.
In addition, the report was reviewed by technical experts who work with us.
Silver Report
Patent Asset Report
Including PDF, Slide and Excel Files