Text Summarization of Turkish Texts using Latent Semantic Analysis

@inproceedings{Ozsoy2010TextSO,
  title={Text Summarization of Turkish Texts using Latent Semantic Analysis},
  author={Makbule Gulcin Ozsoy and Ilyas Cicekli and Ferda Nur Alpaslan},
  booktitle={COLING},
  year={2010}
}
Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-formed summaries. One of the most commonly used methods is the Latent Semantic Analysis (LSA). In this paper, different LSA based summarization algorithms are explained and two new LSA based summarization algorithms are proposed. The algorithms are evaluated on Turkish documents, and their performances are compared using… CONTINUE READING
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