Text Type Identification Using Terminal Usage Context
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies face difficulties in accurately identifying the type of text information due to its multiple possible meanings based on context, leading to challenges in providing appropriate services.
Innovation Solution
A method and apparatus that receive text information from a terminal, obtain usage information within a preset time period, determine scenario information based on this usage, and identify the type of text information within that scenario, improving accuracy by linking context to text meaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text information is analyzed based solely on its content, then the identification process is simple and fast, but the accuracy of identifying text type is low due to multiple possible meanings
Solution Approach 1:
The patent transitions from one-dimensional text content analysis to multi-dimensional analysis by incorporating usage information (time, frequency, terminal state) as additional dimensions. This allows the system to disambiguate text types that have multiple meanings by examining the same text from different contextual dimensions, thereby improving identification accuracy without requiring complex linguistic analysis models
Solution Approach 2:
The patent introduces usage information as an intermediary element that mediates between the text content and the identification result. Instead of directly analyzing text semantics, the system uses usage patterns (when and how the text is sent) as a bridge to infer the intended meaning, simplifying the identification process while improving accuracy
2Measurement precision
If multiple contextual factors are collected and analyzed, then the accuracy of text type identification is improved, but the processing time and system complexity increase
Solution Approach 1:
The patent performs preliminary collection and organization of usage information (time, frequency, terminal state) before the actual text type identification takes place. By having this contextual data ready in advance, the system avoids time-consuming data collection during the identification process itself, thus improving accuracy while minimizing additional processing time
Solution Approach 2:
The usage information collection mechanism serves multiple functions: it provides contextual data for text type identification, tracks terminal behavior patterns, and enables subsequent personalized services. This multi-functionality justifies the additional processing overhead by deriving multiple benefits from the same data collection effort
Data Source
AI summary
A method, apparatus, and computer-readable storage medium for identifying a type of text information is provided. Target text information is received from a terminal by a server. The server obtains usage information of the terminal within a preset time period in which the target text information is received. Scenario information of the terminal is determined by the server based on the usage information. The usage information corresponds to a target scenario indicated by the scenario information. Further, a target type of the target text information is identified by the server. The target type is identified by the target scenario.