Abstract:
Due to an exponential growth in the generation
of textual data, tools and mechanisms for automatic
summarization of documents is needed. Text
summarization is currently a major research topic in
Natural Language Processing. There are various
approaches to generate text summary. Among them, we
proposed Myanmar text summarization using latent
semantic analysis (LSA). Latent semantic analysis
(LSA) is a technique in natural language processing, of
analyzing relationships between a set of documents and
the terms they contain by producing a set of concepts
related to the documents and terms. LSA is a retrieval
method that uses a mathematical technique called
singular value decomposition (SVD) to identify
patterns in the relationships between the terms and
concepts contained in an unstructured collection of
text. There is no LSA based sentence extraction in
Myanmar language. This is the first LSA based Text
Summarizer in Myanmar. We summarize Myanmar
news from Myanmar official websites such as 7day
daily, new-eleven, ThithtooLwin, etc.
