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  • × author_ss:"Rehurek, R."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Rehurek, R.: Machine learning in text analysis (2011) 0.02 
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    Aid
    Latent semantic indexing
  2. Sojka, P.; Lee, M.; Rehurek, R.; Hatlapatka, R.; Kucbel, M.; Bouche, T.; Goutorbe, C.; Anghelache, R.; Wojciechowski, K.: Toolset for entity and semantic associations : Final Release (2013) 0.01 
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    Abstract
    In this document we describe the final release of the toolset for entity and semantic associations, integrating two versions (language dependent and language independent) of Unsupervised Document Similarity implemented by MU (using gensim tool) and Citation Indexing, Resolution and Matching (UJF/CMD). We give a brief description of tools, the rationale behind decisions made, and provide elementary evaluation. Tools are integrated in the main project result, EuDML website, and they deliver the needed functionality for exploratory searching and browsing the collected documents. EuDML users and content providers thus benefit from millions of algorithmically generated similarity and citation links, developed using state of the art machine learning and matching methods.
    Object
    Latent Semantic Indexing
  3. Rehurek, R.; Sojka, P.: Software framework for topic modelling with large corpora (2010) 0.01 
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    Object
    Latent Semantic Indexing

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