Tuning Local Context Analysis for Farsi Documents

  title={Tuning Local Context Analysis for Farsi Documents},
  author={Parsia Hakimian and Fattaneh Taghiyareh},
  journal={Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)},
Farsi language is one of the dominant languages in middle-east. A lot of work has been done on Farsi retrieval systems. Local context analysis is a query expansion method to improve retrieval performance. In this paper we have tried to tune LCA for Farsi language. We used Hamshahri collection and 60 queries to tune three parameters in LCA method which are number of concepts used for query expansion, number of initially retrieved documents for local feedback and number of passages for concept… CONTINUE READING

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