Dell products l.p. (20240177202). SYSTEM AND METHOD FOR COMPETITIVE PRODUCT ANALYSIS simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR COMPETITIVE PRODUCT ANALYSIS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR COMPETITIVE PRODUCT ANALYSIS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR COMPETITIVE PRODUCT ANALYSIS
Organization Name
Inventor(s)
Ruwan Asanka Wasala of Limerick (IE)
Shuvaday Chatterjee of Bangalore (IN)
SYSTEM AND METHOD FOR COMPETITIVE PRODUCT ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177202 titled 'SYSTEM AND METHOD FOR COMPETITIVE PRODUCT ANALYSIS
Simplified Explanation
The abstract describes a methodology for analyzing posts from online forums, social media platforms, or websites to identify and extract information about products for product analysis.
- Retrieving and filtering posts discussing products of interest for product analysis.
- Classifying posts as comparative or noncomparative using a machine learning model.
- Extracting information from comparative posts for product analysis.
- Storing the extracted information in a data repository.
Potential Applications
This technology could be applied in market research, brand monitoring, and product development to gather insights from online discussions about products.
Problems Solved
This technology helps in automating the process of analyzing large amounts of online data to extract valuable information for product analysis, saving time and resources.
Benefits
The methodology allows for efficient and accurate identification and extraction of relevant information from online posts, enabling companies to make data-driven decisions for product development and marketing strategies.
Potential Commercial Applications
- Market research companies can use this technology to analyze consumer sentiments and preferences towards products.
- E-commerce platforms can utilize this methodology to monitor feedback and reviews about products to improve customer satisfaction and loyalty.
Possible Prior Art
One possible prior art could be sentiment analysis tools that analyze text data from social media platforms to understand consumer opinions and attitudes towards products.
Unanswered Questions
How does the machine learning model classify posts as comparative or noncomparative?
The methodology does not provide details on the specific features or algorithms used in the machine learning model for post classification.
What are the potential limitations or biases in extracting information from online posts for product analysis?
The abstract does not address any potential limitations or biases that may arise from relying solely on online posts for product analysis.
Original Abstract Submitted
in one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, retrieving a plurality of posts collected from one or more online forums, social media platforms, or other websites and filtering the plurality of posts, wherein the filtering identifies one or more posts which discuss products which are of interest for a product analysis. the method also includes, by the computing device, classifying, using a machine learning (ml) model, individual posts of the filtered posts as a comparative post or a noncomparative post, wherein the posts classified as comparative posts are used for the product analysis, and extracting information from the comparative posts, wherein the information is to be used for the product analysis. the method further includes storing the extracted information within a data repository.
