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American literature news narration based on computer web technology.
Plos One
|October 16, 2023
Summary
This study extracts pure news content from web pages using Term Frequency-Inverse Document Frequency (TF-IDF) and text classification. It identifies narrative structures in literary news to improve readability and reader comprehension.
Area of Science:
- Information Science
- Computational Linguistics
- Media Studies
Background:
- Online news dissemination is prevalent but hindered by redundant web content (ads, navigation).
- Users struggle to access pure news content due to extraneous information.
- Effective news extraction and narrative analysis are crucial for improving online news consumption.
Purpose of the Study:
- To develop a system for extracting pure news content from redundant web pages.
- To analyze the narrative characteristics of American literary news reports.
- To enhance news readability and reader engagement through effective narrative strategies.
Main Methods:
- Utilized Term Frequency-Inverse Document Frequency (TF-IDF) for keyword extraction and content identification.
- Employed text classification algorithms (SVM, KNN, AdaBoost) for news text categorization.
- Applied Document Object Model (DOM) technology to analyze web page structure and extract key elements.
- Analyzed narrative sequence, duration, and structure in 15 American literary news reports.
Main Results:
- Identified sequence and flashback as dominant narrative sequences in literary news.
- Found narrative duration primarily uses "victory rate" and "outline," supplemented by scenes and pauses.
- Determined that 53.3% of literary news structures are time-connected, enhancing context and protagonist understanding.
- Developed a news extraction system combining keyword features and DOM tree analysis.
Conclusions:
- The developed system effectively extracts pure news content from cluttered web pages.
- Time-connected narrative structures significantly improve the readability and comprehension of literary news.
- Findings offer valuable insights for media practitioners on news narrative techniques and strategies.
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