Automatic Amharic Multi document News Text Summarization - Diges, Tsehay; Alemu, Dejen
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Text summarization is one of the applications of natural language processing and is becoming more popular for information condensation. Previously, some researches have been done on single Amharic text summarization. However, when a user wants comprehensive information on a certain topic or different topic at once, it is quite likely that a single document would not provide all the required information. In this study, the capability of the open source tool (open text summarizer) for Amharic multi document text news summarization has been investigated using term frequency and sentence position…mehr

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Produktbeschreibung
Text summarization is one of the applications of natural language processing and is becoming more popular for information condensation. Previously, some researches have been done on single Amharic text summarization. However, when a user wants comprehensive information on a certain topic or different topic at once, it is quite likely that a single document would not provide all the required information. In this study, the capability of the open source tool (open text summarizer) for Amharic multi document text news summarization has been investigated using term frequency and sentence position methods. Data-set were prepared from different Amharic news provider websites. The study shall have a contribution in attempting Extraction based text summarization approach to be used for summarizing Amharic multi document news text automatically.
Autorenporträt
Tsehay Diges DemisEducational background: Bachelors of degree in Information Science, Masters of degree in Computer ScienceJob: Lecturer at University of Gondar, Ethiopia.