Informace o publikaci

ScaleText: The Design of a Scalable, Adaptable and User-Friendly Document System for Similarity Searches : Digging for Nuggets of Wisdom in Text

Logo poskytovatele
Autoři

RYGL Jan SOJKA Petr RŮŽIČKA Michal ŘEHŮŘEK Radim

Rok publikování 2016
Druh Článek ve sborníku
Konference Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2016
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www
Obor Informatika
Klíčová slova ScaleText; vector space modelling; Latent Semantic Indexing; LSI; machine learning; scalable search; search system design; text mining
Popis This paper describes the design of a new ScaleText system aimed at scalable semantic indexing of heterogeneous textual corpora. We discuss the design decisions that lead to a modular system architecture for indexing and searching using semantic vectors of document segments – nuggets of wisdom. The prototype system implementation is evaluated by applying Latent Semantic Indexing (LSI) on the Enron corpus. And the Bpref measure is used to automate comparing the performance of different algorithms and system configurations.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info