Abstract:
Due to the fast growth of online information
on the Internet, there are a large number of journals,
magazines, information portals and personal blog
sites written in Myanmar language have now online
editions. But there need more time to read and grasp
it. Manual analysis of the conveyed documents
becomes almost impossible. Therefore, the process of
summarizing documents is becoming increasingly
popular. It is a kind of text mining strategy which
involves reducing a text document or multiple
documents into a short set of words or paragraph
which conveys the main meaning of the text. Although
there are many language text summarizers but
Myanmar language summarizer is still in research
area. Summarizing the important information from
the multiple documents written in Myanmar
Language at short period of time is not mature. In
this paper, when the user queries one or more
options, the system extracts the relevant important
sentences from the documents. After that, the system
abstracts the important information in fewer words
and then gives the word level summary to the user
that is relevant to the user query options. The system
focuses on Earthquake news written in Myanmar Language.
