Results 11 to 20 of about 6,811,694 (242)
Single Document Automatic Text Summarization using Term Frequency-Inverse Document Frequency (TF-IDF) [PDF]
ComTech, 2016 The increasing availability of online information has triggered an intensive research in the area of automatic text summarization within the Natural Language Processing (NLP).
Hans Christian +2 more
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A Comparison of Search Term Weighting: Term Relevance vs. Inverse Document Frequency [PDF]
, 1981 The term relevance weighting method has been shown to produce optimal information retrieval queries under well-defined conditions. The parameters needed to generate the term relevance factors cannot unfortunately be estimated accurately in practice ...
Salton, Gerard, Wu, Harry
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Probabilistic retrieval models - relationships, context-specific application, selection and implementation [PDF]
, 2011 PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core +4 more sources
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels [PDF]
, 2014 A practical single-carrier (SC) block transmission with frequency domain equalisation (FDE) system can generally be modelled by the Hammerstein system that includes the nonlinear distortion effects of the high power amplifier (HPA) at transmitter.
Hong, Xia, Chen, Sheng, Harris, Chris J.
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Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers [PDF]
PeerJ Computer Science, 2022 Sentiment analysis has been researched extensively during the last few years, however, the sentiment analysis of citations in a research article is an unexplored research area. Sentiment analysis of citations can provide new applications in bibliometrics
Musarat Karim +6 more
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Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2022 Social media is a common thing that people use. Posts or comments found on social media describe someone’s feelings and opinions so there have to be important topics that can be extracted from social media.
Satyawan Agung Nugroho +2 more
doaj +1 more source
Document retrieval using term frequency inverse sentence frequency weighting scheme
, 2023 The need for an efficient method to find the furthermost appropriate document corresponding to a particular search query has become crucial due to the exponential development in the number of papers that are now readily available to us on the web.
Mohannad T. Mohammed +3 more
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Analyse de documents avec TF-IDF
The Programming Historian en Français, 2022 Cette leçon présente une méthode de traitement automatique des langues et de recherche d’informations nommée Term Frequency - Inverse Document Frequency (tf-idf).
Matthew J. Lavin
doaj +1 more source
Applied Sciences, 2022 Vulnerability and attack information must be collected to assess the severity of vulnerabilities and prioritize countermeasures against cyberattacks quickly and accurately.
Kenta Kanakogi +8 more
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Critical Care Explorations, 2021 OBJECTIVES:. To evaluate whether different approaches in note text preparation (known as preprocessing) can impact machine learning model performance in the case of mortality prediction ICU. DESIGN:.
Malini Mahendra, MD +5 more
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