Automated Intention Extraction from Online Forum Text
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Solution Overview
Problem
Manual extraction of authors' intentions from online text in social networking and forums is time-consuming and economically inefficient for businesses, making it difficult to capitalize on consumer intentions for economic gain.
Innovation Solution
A data mining method using a processor to identify and extract statements of intention from online forums by populating seed patterns, dividing sentences into tokens, assigning parts of speech, and extracting attributes, enabling automated processing of large volumes of online text.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual extraction of authors' intentions from online text is performed, then accuracy of intention capture is improved, but time consumption and economic efficiency deteriorate
Solution Approach 1:
The patent replaces the mechanical manual extraction process with an automated data mining system that uses computational algorithms to identify and extract intentions from online text. The system employs pattern matching, natural language processing, and automated classification to substitute human manual work with computer-based processing, thereby resolving the contradiction between accuracy and time consumption.
Solution Approach 2:
The patent introduces an intermediary automated processing layer between the raw online text and the final intention extraction. This intermediary system uses trained models and algorithms to bridge the gap between unstructured text data and structured intention information, enabling efficient automated extraction while maintaining accuracy.
2Measurement precision
If manual extraction of intentions is performed, then comprehensive analysis is improved, but productivity and economic benefit deteriorate
Solution Approach 1:
The patent replaces manual comprehensive analysis with automated data mining systems that can process large volumes of online text simultaneously. The system uses parallel processing and distributed computing to maintain comprehensive analysis capabilities while dramatically improving productivity and economic benefits through automated operation.
Solution Approach 2:
The patent creates a universal automated extraction system that can handle multiple types of intentions across different online platforms and text formats. This multi-functional system maintains comprehensive analysis capabilities while improving productivity by eliminating the need for separate manual analysis processes for different data sources.
3Productivity
If automated data mining is implemented, then productivity is improved, but measurement precision of intention capture may deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-training the automated data mining system with extensive datasets and pre-defining intention patterns before actual extraction begins. This preliminary preparation ensures that the automated system achieves high measurement precision from the start, eliminating the need for manual validation and maintaining accuracy while providing rapid processing.
Solution Approach 2:
The patent implements feedback mechanisms where the automated system continuously refines its intention extraction based on results from processed data. The system uses feedback loops to adjust its algorithms and improve accuracy over time, ensuring that productivity gains do not compromise measurement precision.
Data Source
AI summary
A method of capturing intentions within online text comprises with a data mining device (105), identifying (block 305) a number of statements of intention within an online forum (110), and with the data mining device (105), extracting (block 310) a number of attributes (240, 245, 250, 255, 260) from the statements of intention. A system (100) for extracting intentions expressed within an online forum comprises a data mining device (105), a forum server (115) comprising a number of online forums (110) communicatively coupled to the data mining device (105), in which the data mining device identifies a number of statements of intention within the online forums (110) and extracts a number of attributes (240, 245, 250, 255, 260) from the statements of intention.