Nec corporation (20240104119). INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM simplified abstract
Contents
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Masafumi Oyamada of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104119 titled 'INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that automatically classifies data into different categories based on the similarity between target relevant information and category relevant information.
- Data acquiring section: Acquires target data to be classified into different categories.
- Classifying section: Classifies the target data into categories based on the similarity between target relevant information and category relevant information.
- Potential Applications:**
This technology can be applied in various fields such as content categorization, data organization, and information retrieval systems.
- Problems Solved:**
This technology eliminates the need for constructing classifiers through machine learning, making the classification process more efficient and less resource-intensive.
- Benefits:**
- Automated data classification - Improved data organization - Faster information retrieval
- Potential Commercial Applications:**
This technology can be utilized in industries such as e-commerce, content management systems, and data analytics for efficient data categorization and organization.
- Possible Prior Art:**
Prior art in this field includes traditional machine learning classifiers and manual data categorization methods that require human intervention.
- Unanswered Questions:**
1. How does the apparatus handle large volumes of data for classification? 2. What are the potential limitations of this technology in real-world applications?
Original Abstract Submitted
an information processing apparatus () includes: a data acquiring section () for acquiring target data, which is data to be classified into one of a plurality of categories; and a classifying section () for classifying the target data into one of the plurality of categories in accordance with a similarity between target relevant information relevant to the target data and category relevant information relevant to each of the plurality of categories, so that data is automatically classified without use of a classifier constructed by machine learning.
