Results 11 to 20 of about 6,292,584 (225)

Balancing between over-weighting and under-weighting in supervised term weighting [PDF]

open access: yesInformation Processing & Management, 2017
Show the importance of the trade-off between over-weighting and under-weighting.Propose a revision of add-one smoothing on delta smoothed idf (dsidf).Present three regularization techniques to reduce over-weighting.Propose a new supervised term weighting scheme, regularized entropy (re).
Haibing Wu, Xiaodong Gu, Yiwei Gu
openaire   +3 more sources

Term-Weighting Approaches in Automatic Text Retrieval

open access: yesInformation Processing and Management, 1988
G. Salton, C. Buckley
semanticscholar   +3 more sources

TF-TDA: A Novel Supervised Term Weighting Scheme for Sentiment Analysis

open access: yesElectronics, 2023
In text classification tasks, such as sentiment analysis (SA), feature representation and weighting schemes play a crucial role in classification performance.
Arwa Alshehri, Abdulmohsen Algarni
semanticscholar   +1 more source

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2021
Term weighting schemes are widely used in Natural Language Processing and Information Retrieval. In particular, term weighting is the basis for keyword extraction.
Asahi Ushio   +2 more
semanticscholar   +1 more source

Comparison of Term Weighting Methods in Sentiment Analysis of the New State Capital of Indonesia with the SVM Method

open access: yesInternational Journal on Information and Communication Technology (IJoICT), 2023
The relocation of the State Capital to “Nusantara”, which was inaugurated with the enactment of UU No. 3 of 2022, is a significant project that has sparked polemics among Indonesian citizens.
Muhammad Kiko   +3 more
semanticscholar   +1 more source

Short-term variability in body weight predicts long-term weight gain [PDF]

open access: yesThe American Journal of Clinical Nutrition, 2015
Body weight in lower animals and humans is highly stable despite a very large flux in energy intake and expenditure over time. Conversely, the existence of higher-than-average variability in weight may indicate a disruption in the mechanisms responsible for homeostatic weight regulation.In a sample chosen for weight-gain proneness, we evaluated whether
Michael R, Lowe   +3 more
openaire   +2 more sources

Weighted Choquard Equation Perturbed with Weighted Nonlocal Term [PDF]

open access: yesDifferential Equations and Dynamical Systems, 2021
AbstractWe investigate the following problem $$\begin{aligned} -\mathrm{div}(v(x)|\nabla u|^{m-2}\nabla u)+V(x)|u|^{m-2}u= \left( |x|^{-\theta }*\frac{|u|^{b}}{|x|^{\alpha }}\right) \frac{|u|^{b-2}}{|x|^{\alpha }}u+\lambda \left( |x|^{-\gamma }*\frac{|u|^{c}}{|x|^{\beta }}\right) \frac{|u|^{c-2}}{|x|^{\beta }}u \quad \text { in }{\mathbb {R}}^{N}, \end{
openaire   +2 more sources

Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports

open access: yes, 2021
With the rapid development of the internet technology, a large amount of internet text data can be obtained. The text classification (TC) technology plays a very important role in processing massive text data, but the accuracy of classification is ...
Zhiying Jiang   +5 more
semanticscholar   +1 more source

Perbandingan Metode TF-ABS dan TF-IDF Pada Klasifikasi Teks Helpdesk Menggunakan K-Nearest Neighbor

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021
Distribution of tickets to the destination unit is a very important function in the helpdesk application, but the process of distributing tickets manually by admin officers has drawbacks, namely ticket distribution errors can occur and increase ticket ...
Riza Adrianti Supono   +1 more
doaj   +1 more source

A New Feature Selection Scheme for Emotion Recognition from Text

open access: yesApplied Sciences, 2020
This paper presents a new scheme for term selection in the field of emotion recognition from text. The proposed framework is based on utilizing moderately frequent terms during term selection.
Zafer Erenel   +2 more
doaj   +1 more source

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