Search (72 results, page 1 of 4)

  • × language_ss:"e"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.19 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Goldberg, D.M.; Zaman, N.; Brahma, A.; Aloiso, M.: Are mortgage loan closing delay risks predictable? : A predictive analysis using text mining on discussion threads (2022) 0.04 
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    Abstract
    Loan processors and underwriters at mortgage firms seek to gather substantial supporting documentation to properly understand and model loan risks. In doing so, loan originations become prone to closing delays, risking client dissatisfaction and consequent revenue losses. We collaborate with a large national mortgage firm to examine the extent to which these delays are predictable, using internal discussion threads to prioritize interventions for loans most at risk. Substantial work experience is required to predict delays, and we find that even highly trained employees have difficulty predicting delays by reviewing discussion threads. We develop an array of methods to predict loan delays. We apply four modern out-of-the-box sentiment analysis techniques, two dictionary-based and two rule-based, to predict delays. We contrast these approaches with domain-specific approaches, including firm-provided keyword searches and "smoke terms" derived using machine learning. Performance varies widely across sentiment approaches; while some sentiment approaches prioritize the top-ranking records well, performance quickly declines thereafter. The firm-provided keyword searches perform at the rate of random chance. We observe that the domain-specific smoke term approaches consistently outperform other approaches and offer better prediction than loan and borrower characteristics. We conclude that text mining solutions would greatly assist mortgage firms in delay prevention.
  3. Fugmann, R.: What is information? : an information veteran looks back (2022) 0.01 
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    Date
    18. 8.2022 19:22:57
  4. Morris, V.: Automated language identification of bibliographic resources (2020) 0.01 
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    Date
    2. 3.2020 19:04:22
  5. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.01 
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    Date
    17.11.2020 12:22:59
  6. Manley, S.: Letters to the editor and the race for publication metrics (2022) 0.01 
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    Date
    6. 4.2022 19:22:26
  7. Wu, P.F.: Veni, vidi, vici? : On the rise of scrape-and-report scholarship in online reviews research (2023) 0.01 
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    Date
    22. 1.2023 18:33:53
  8. Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023) 0.01 
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    Date
    22. 6.2023 18:23:31
  9. Geras, A.; Siudem, G.; Gagolewski, M.: Should we introduce a dislike button for academic articles? (2020) 0.01 
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    Date
    6. 1.2020 18:10:22
  10. Bullard, J.; Dierking, A.; Grundner, A.: Centring LGBT2QIA+ subjects in knowledge organization systems (2020) 0.01 
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    Date
    6.10.2020 21:22:33
  11. Lorentzen, D.G.: Bridging polarised Twitter discussions : the interactions of the users in the middle (2021) 0.01 
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    Date
    20. 1.2015 18:30:22
  12. Park, Y.J.: ¬A socio-technological model of search information divide in US cities (2021) 0.01 
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    20. 1.2015 18:30:22
  13. Cooke, N.A.; Kitzie, V.L.: Outsiders-within-Library and Information Science : reprioritizing the marginalized in critical sociocultural work (2021) 0.01 
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    Date
    18. 9.2021 13:22:27
  14. Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023) 0.01 
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    Date
    22. 1.2023 18:53:32
  15. Ma, Y.: Relatedness and compatibility : the concept of privacy in Mandarin Chinese and American English corpora (2023) 0.01 
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    22. 1.2023 18:59:40
  16. Ma, L.: Information, platformized (2023) 0.01 
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    22. 1.2023 19:01:47
  17. Hertzum, M.: Information seeking by experimentation : trying something out to discover what happens (2023) 0.01 
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    Date
    21. 3.2023 19:22:29
  18. Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023) 0.01 
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    Date
    21. 3.2023 19:22:14
  19. Kuehn, E.F.: ¬The information ecosystem concept in information literacy : a theoretical approach and definition (2023) 0.01 
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    22. 3.2023 11:52:50
  20. Li, G.; Siddharth, L.; Luo, J.: Embedding knowledge graph of patent metadata to measure knowledge proximity (2023) 0.01 
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    Date
    22. 3.2023 12:06:55

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