WellGreen-i Co., Ltd.

• The success of a project depends on whether superior outcomes can be achieved quickly and at low cost.
• Continuous collection and comparative analysis of information on competing projects is extremely important.
• Based on the collected information, objectively evaluate the validity of the approach used in the project.
• Flexibly and promptly adjust and optimize strategic approach when necessary.

• By using A2K technology, you can obtain summarized information and statistical information related to key terms (project focus areas, e.g., extraterrestrial organic matter, breast cancer suppressor genes).
• Through comprehensive collection of publicly available English texts and basic sentence structure analysis (such as SVO and SVC) of sentences containing the key terms, highly precise summarization results are quickly listed.
• Since a large amount of available English texts (e.g., freely accessible web information) is processed by A2K technology, the key information can be collected comprehensively, quickly, and efficiently.
• The summarization results are described in an easy-to-read format.
• Statistical analysis results, including overrepresented and co-occurring terms, can be referenced from the summarization results.

The results by A2K are provided in A2K Descriptions, which consist of three components: Subject, Action, and Process.

For example, when an astrophysics researcher focuses on three key terms: “hayabusa,” “ryugu,” and “organic,” many documents are subject to A2K analysis. One such document (here) contains approximately 8,500 words (11 pages).

A2K analysis for this document summarizes and compresses the entire text into approximately 150 A2K Descriptions, each containing at least one of the key terms. Compared to manually reviewing the full paper, this approach significantly reduces the time and effort required for gathering key information.

Below is an example of an A2K Description extracted from this document. For instance, the document contains the following sentence:
“Hayabusa2 spacecraft collected surface regolith particles from Ryugu in two separate touchdown events, which were stored in collection chambers A and C of the spacecraft’s sample catcher.”
From this sentence, the following A2K Description is obtained (highlighted in green are the key terms):
Subject: "Hayabusa2 spacecraft" » Action: "collected" » Process: "surface regolith particles from Ryugu in two separate touchdown events"
Using this A2K Description, readers can quickly and easily grasp the key information in the document.
The figure below shows an example of A2K Descriptions extracted from this document.

An example of A2K analysis using key terms: "hayabusa", "ryugu", and "organic"

• Simply by specifying key terms, you can seamlessly and quickly automate the entire process from literature search to the aggregation, summarization, and statistical processing of knowledge-based information.
• Key terms can be freely set based on your project’s focus area (e.g., global warming, breast cancer suppressor genes, stock market prediction).
• You can collect and summarize vast amounts of text information related to the key terms in bulk, including numerous publicly available documents, then perform statistical analysis.
• Users can dramatically reduce the amount of text they need to read and comprehend themselves.
• While manual reviews often struggle with documents outside the reviewer’s expertise, A2K enables processing of literature beyond specialized fields, covering science, humanities, social sciences, political trend analysis, business strategy, intellectual property, arts, sports, and many other domains.
• There is no limit to the number of key terms used in A2K analysis.
• A2K analysis handles English texts.
• By utilizing machine translation tools, Japanese and other languages can also be analyzed by A2K (please note that translation accuracy may affect summarization quality).
• Statistical information can be extracted from the summary results, making it easy to grasp the overall trends of the summarized information. Statistical information includes frequent terms, co-occurring terms, and more.