Basically, we propose a two-phase algorithm in which the paragraphs in the documents are first classified according to given topics and then each topic is summarized to constitute the automatically generated report.
📌 3 Key Takeaways
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Objective & Hypothesis:The expansion of on-line text with the rapid growth of the Internet imposes utilizing Data Mining techniques to reveal the information embedded in these documents.
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Key Findings & Data:In this work, we attempt to integrate these two techniques to help the user to compile and extract the information that is needed.
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Conclusion & Impact:Basically, we propose a two-phase algorithm in which the paragraphs in the documents are first classified according to given topics and then each topic is summarized to constitute the automatically generated report.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The expansion of on-line text with the rapid growth of the Internet imposes utilizing Data Mining techniques to reveal the information embedded in these documents. Therefore text classification and text summarization are two of the most important application areas. In this work, we attempt to integrate these two techniques to help the user to compile and extract the information that is needed. Basically, we propose a two-phase algorithm in which the paragraphs in the documents are first classified according to given topics and then each topic is summarized to constitute the automatically generated report.
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Cite This Article
KARAKAYA, K. M., GÜVENİR, H. A. (2022). ARG: A tool for automatic report generation. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 2, 1101–1109. https://ajindex.com/articles/543879
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