Results 251 to 260 of about 31,193 (295)

Enhanced extractive text summarization framework for low-resourced Urdu language. [PDF]

PLoS One
Nazir S, Asif M, Ahmad S, Aljuaid H, Ahmad S.   +4 more
europepmc   +1 more source

A spam detection model based on the discriminative TF-IDF belief rule base. [PDF]

Sci Rep
Yang X, Zhou W, Duan X, Ma N, Wang Y.
europepmc   +1 more source

Health-disease processes among women agriculturalists in Central Amazon: work and environmental vulnerabilities. [PDF]

Cad Saude Publica
Reis LS, Barbosa TL, Capanema E, Ferrante L, Nina SFM.   +4 more
europepmc   +1 more source

Mumtathil: Automatic PDPL compliance identification system of Arabic privacy policies documents. [PDF]

PLoS One
Mashaabi M, Al-Khalifa H.
europepmc   +1 more source

Inverse document frequency-based sensitivity scoring for privacy analysis

Signal, Image and Video Processing, 2021
Privacy risk analysis of online social network (OSN) users aims at generating a risk score for each OSN user such that higher scores potentially imply a greater risk of privacy violation. Privacy risk analysis is typically carried out over a response matrix (R) where any matrix element $$r_{ij}$$
Önder Coban, Ali Inan, Selma Ayse Ozel   +2 more
exaly   +5 more sources

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Improving FastText with inverse document frequency of subwords

Pattern Recognition Letters, 2020
Abstract Word embedding is important in natural language processing, and word2vec is known as a representative algorithm. However, word2vec and many other dictionary-based word embedding algorithms create word vectors only for words that appear in the training data, ignoring morphological features of these words. The FastText algorithm was previously
Sang-Woong Lee
exaly   +2 more sources

A comparison of two-poisson, inverse document frequency and discrimination value models of document representation

Information Processing and Management, 1990
Abstract In this paper we present a comparison of the Two-Poisson (2P), Inverse Document Frequency (IDF) and Discrimination Value (DV) models of document representation. The first objective of the study was to understand the nature of the relationship between the term property underlying the 2P model and the other statistical properties of index ...
Padmini Srinivasan
exaly   +2 more sources

Performance of Term Frequency - Inverse Document Frequency and K-Means in Government Service Identification

2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA)
Term Frequency-Inverse Document Frequency (TF-IDF) is used to assess the importance of words in a document relative to the rest of the document set, while K-Means clusters documents based on content similarity.
Mahyuddin K M Nasution
exaly   +3 more sources

Content-Based Image Indexing by Data Clustering and Inverse Document Frequency

Communications in Computer and Information Science, 2014
In this paper we present an algorithm for creating and searching large image databases. Effective browsing and searching such collections of images based on their content is one of the most important challenges of computer science. In the presented algorithm, the process of inserting data to the database consists of several stages.
Marcin Gabryel, Marcin Korytkowski, Rafał Scherer   +2 more
exaly   +2 more sources