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Semantic search on Turkish news domain with automatic query expansion
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index.pdf
Date
2016
Author
Demir, Tuğba
Metadata
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In this thesis, semantic search on Turkish news domain with query expansion is proposed. Our aim is to provide the user with the most relevant documents related to their entered keywords. Our system uses data sources from Turkish news websites such as Hürriyet, Milliyet, Sabah, etc. Our system extends the user’s query with word embeddings and semantic relatedness. Furthermore, named entities, containing precious information, are extracted from news sources and user query and ranked to return on top of the results. In the rest of search process, it relies on traditional information retrieval (IR) techniques. For Turkish language, to the best of our knowledge, our system is the first attempt to use such search and query extension techniques on news data.
Subject Keywords
Semantic computing.
,
Query languages (Computer science).
,
Information retrieval
URI
http://etd.lib.metu.edu.tr/upload/12620127/index.pdf
https://hdl.handle.net/11511/25752
Collections
Graduate School of Natural and Applied Sciences, Thesis