Emotion-Conditioned Text Summarization via Probability Vectors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current text summarization methods lack the ability for users to control the emotional content of the summary, such as happiness, anger, or sadness, which can be important for specific applications like news summarization.
Innovation Solution
A method, system, and computer-readable medium for text summarization that allows users to specify a target emotion, encoded as an emotion probability vector, to identify relevant words from a dictionary, and generate a summary that maintains the chosen emotional tone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional text summarization methods are used, then the summary preserves factual accuracy, but the user cannot control the emotional content of the summary
Solution Approach 1:
The patent introduces emotion probability vectors as new parameters to control the emotional content of summaries. By changing the parameter space to include emotional dimensions, the system enables users to control the emotional tone while maintaining factual accuracy through the structured integration of emotion vectors with text summarization processes.
Solution Approach 2:
The patent uses emotion probability vectors as intermediary elements that mediate between the factual content and the desired emotional tone. These vectors serve as a bridge, allowing the system to translate emotional requirements into concrete summarization guidance without directly manipulating the text generation process.
2Ease of operation
If emotion conditioning is added to text summarization, then the flexibility and user-centricity improve, but the processing steps increase
Solution Approach 1:
The patent performs preliminary computation of emotion probability vectors and identification of emotion-related words before the main summarization process. By preparing these emotional conditioning components in advance, the system reduces the computational burden during actual summarization, thereby maintaining speed while adding emotional control capabilities.
Data Source
AI summary
A method, computer program, and computer system are provided for text summarization that maintains emotional content. Data corresponding to text to be summarized and a target emotion to be maintained in the text to be summarized is received. The target emotion is encoded as an emotion probability vector. One or more words that correspond to the target emotion that is encoded in the emotion probability vector are identified from a dictionary. A text summary to be associated with the text to be summarized is generated based on the one or more identified words.