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A novel TF-IDF weighting scheme for effective ranking
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013Term weighting schemes are central to the study of information retrieval systems. This article proposes a novel TF-IDF term weighting scheme that employs two different within document term frequency normalizations to capture two different aspects of term saliency.
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Ontology Matching Using TF/IDF Measure with Synonym Recognition
2013Ontology matching is an important process for integration of heterogeneous data sources. A large number of different matchers for comparing ontologies exist. They can be classified into element-level and structure-level matchers. The element-level matchers compare entities ignoring their relations with other entities, while the structure-level matchers
Marko Gulic +2 more
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An Integrated Approach for the Analysis of the TF/IDF Matrix
2005In this paper we propose to analyse a puculiar data matrix, known as term frequency/inverse document frequency (TF/IDF) matrix, with a strategy based on the jointly use of a Factorial Data Analysis and a Classification Method.
M. MISURACA +2 more
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Using TF-IDF in text classification
AIP Conference Proceedings, 2023Gayrat Juraev, Obidjon Bozorov
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Evaluation of the Delta TF-IDF Features for Sentiment Analysis
2014This paper proposes a feature model different from bag-of-word models to analyze the sentiment of the text. The main idea of the method is improving the quality of prediction by combining a rule-based approach and the standard bag-of-words model. Results of the experiments with changing the subject, the size of reviews in data are shown. The hypothesis
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Disaggregation of future GCMs to generate IDF curves for the assessment of urban floods
Journal of Water and Climate Change, 2022Hüsamettin Taysi, Mehmet Özger
exaly
Update of intensity-duration-frequency (IDF) curves under climate change: a review
Water Science and Technology: Water Supply, 2022Ioannis M Kourtis +2 more
exaly