Search (12 results, page 1 of 1)

  • × author_ss:"Srinivasan, P."
  1. Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016) 0.05
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    Date
    22. 1.2016 11:25:47
  2. Srinivasan, P.: Thesaurus construction (1992) 0.02
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    Abstract
    Thesauri are valuable structures for Information Retrieval systems. A thesaurus provides a precise and controlled vocabulary which serves to coordinate dacument indexing and document retrieval. In both indexing and retrieval, a thesaurus may be used to select the most appropriate terms. Additionally, the thesaurus can assist the searcher in reformulating search strategies if required. Examines the important features of thesauri. This should allow the reader to differentiate between thesauri. Next, a brief overview of the manual thesaurus construction process is given. 2 major approaches for automatic thesaurus construction have been selected for detailed examination. The first is on thesaurus construction from collections of documents,a nd the 2nd, on thesaurus construction by merging existing thesauri. These 2 methods were selected since they rely on statistical techniques alone and are also significantly different from each other. Programs written in C language accompany the discussion of these approaches
  3. Srinivasan, P.: Expert interface to Library of Congress Subject Headings (1990/91) 0.02
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  4. Srinivasan, P.: Query expansion and MEDLINE (1996) 0.01
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  5. Srinivasan, P.: Intelligent information retrieval using rough set approximations (1989) 0.01
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  6. Srinivasan, P.: On generalizing the Two-Poisson Model (1990) 0.01
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  7. Srinivasan, P.: Optimal document-indexing vocabulary for MEDLINE (1996) 0.01
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  8. Srinivasan, P.; Ruiz, M.E.; Lam, W.: ¬An investigation of indexing on the WWW (1996) 0.01
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  9. Ruiz, M.E.; Srinivasan, P.: Combining machine learning and hierarchical indexing structures for text categorization (2001) 0.01
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  10. Srinivasan, P.: Text mining : generating hypotheses from MEDLINE (2004) 0.01
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  11. Srinivasan, P.: Text mining in biomedicine : challenges and opportunities (2006) 0.01
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  12. Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014) 0.01
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