Search (199 results, page 8 of 10)

  • × theme_ss:"Informetrie"
  1. Lu, K.; Wolfram, D.: Measuring author research relatedness : a comparison of word-based, topic-based, and author cocitation approaches (2012) 0.01 
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  2. Tuomaala, O.; Järvelin, K.; Vakkari, P.: Evolution of library and information science, 1965-2005 : content analysis of journal articles (2014) 0.01 
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  3. Kousha, K.; Thelwall, M.: ¬An automatic method for extracting citations from Google Books (2015) 0.01 
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  4. Mohammadi, E.; Thelwall, M.; Kousha, K.: Can Mendeley bookmarks reflect readership? : a survey of user motivations (2016) 0.01 
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  5. Kousha, K.; Thelwall, M.: Patent citation analysis with Google (2017) 0.01 
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  6. Thelwall, M.; Kousha, K.: ResearchGate articles : age, discipline, audience size, and impact (2017) 0.01 
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  7. Kousha, K.; Thelwall, M.: Are wikipedia citations important evidence of the impact of scholarly articles and books? (2017) 0.01 
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  8. Botting, N.; Dipper, L.; Hilari, K.: ¬The effect of social media promotion on academic article uptake (2017) 0.01 
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  9. Klavans, K.; Boyack, K.W.: Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? (2017) 0.01 
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  10. Lee, K.; Kim, S.Y.; Kim, E.H.-J.; Song, M.: Comparative evaluation of bibliometric content networks by tomographic content analysis : an application to Parkinson's disease (2017) 0.01 
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  11. Song, M.; Kim, S.Y.; Lee, K.: Ensemble analysis of topical journal ranking in bioinformatics (2017) 0.01 
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  12. Kousha, K.; Thelwall, M.: News stories as evidence for research? : BBC citations from articles, Books, and Wikipedia (2017) 0.01 
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  13. Thelwall, M.; Kousha, K.: SlideShare presentations, citations, users, and trends : a professional site with academic and educational uses (2017) 0.01 
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  14. Kousha, K.; Thelwall, M.; Abdoli, M.: Goodreads reviews to assess the wider impacts of books (2017) 0.01 
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  15. Yan, E.; Li, K.: Which domains do open-access journals do best in? : a 5-year longitudinal study (2018) 0.01 
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  16. Didegah, F.; Bowman, T.D.; Holmberg, K.: On the differences between citations and altmetrics : an investigation of factors driving altmetrics versus citations for finnish articles (2018) 0.01 
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  17. Ikae, C.; Savoy, J.: Gender identification on Twitter (2022) 0.01 
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    Abstract
    To determine the author of a text's gender, various feature types have been suggested (e.g., function words, n-gram of letters, etc.) leading to a huge number of stylistic markers. To determine the target category, different machine learning models have been suggested (e.g., logistic regression, decision tree, k nearest-neighbors, support vector machine, naïve Bayes, neural networks, and random forest). In this study, our first objective is to know whether or not the same model always proposes the best effectiveness when considering similar corpora under the same conditions. Thus, based on 7 CLEF-PAN collections, this study analyzes the effectiveness of 10 different classifiers. Our second aim is to propose a 2-stage feature selection to reduce the feature size to a few hundred terms without any significant change in the performance level compared to approaches using all the attributes (increase of around 5% after applying the proposed feature selection). Based on our experiments, neural network or random forest tend, on average, to produce the highest effectiveness. Moreover, empirical evidence indicates that reducing the feature set size to around 300 without penalizing the effectiveness is possible. Finally, based on such reduced feature sizes, an analysis reveals some of the specific terms that clearly discriminate between the 2 genders.
  18. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Do altmetric scores reflect article quality? : evidence from the UK Research Excellence Framework 2021 (2023) 0.01 
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  19. Järvelin, K.; Vakkari, P.: LIS research across 50 years: content analysis of journal articles : offering an information-centric conception of memes (2022) 0.01 
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  20. Thelwall, M.; Kousha, K.; Stuart, E.; Makita, M.; Abdoli, M.; Wilson, P.; Levitt, J.: In which fields are citations indicators of research quality? (2023) 0.01 
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