ISSN: 2165- 7866
+44 1300 500008
Department of Computing, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia
Research Article
Amharic Text Summarization for News Items Posted on Social Media
Author(s): Abaynew Guadie*, Debela Tesfaye and Teferi Kebebew
This paper introduces Amharic Text Summarization for News Items posted on Social Media, to summarize the
news items posted Amharic texts a time posted documents from social media on Twitter and Facebook; The main
problems of the social media posted texts are that most people would probably read they're posted in Amharic texts
with duplicate posted documents. However, to find the information the user is looking for to find summary posted
texts and read important portions of posts as Amharic documents to extract desired information on social media.
Summarization is dealing with information overload presenting and posting with a text document for the current
time representation of the posted documents to summarize. Our proposed approach has three main components:
First, calculate the similarity between each posted document within the two pairs of sentences. Second, c.. View More»
DOI:
10.35248/2165-7866.21.s5.001