Publication Date

Spring 2014

Degree Type

Master's Project

Department

Computer Science

Abstract

Text summarization is a technique to generate a concise summary of
a larger text. In search engines, Text summarization can be used for
generating compressed descriptions of web pages. For indexing, these can
be used rather than whole pages when building inverted indexes. For query
results, summaries can be used for snippet generation. In this project, we
research on several techniques of text summarization. We evaluate these
techniques for quality of the generated summary and time required to
generate it. We implement the technique chosen from the evaluation in
Yioop, an open source, PHP-based search engine.

Share

COinS