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
Frequent itemset-based feature selection and Rider Moth Search Algorithm for document clustering
Journal of King Saud University: Computer and Information Sciences, 2022 Document clustering has recently been paid great attention in retrieval, navigation, and summarization of huge volumes of documents. With a better document clustering approach, computers can organize a document corpus automatically to a meaningful ...
Madhulika Yarlagadda +2 more
doaj +1 more source
Feature Selection In Document Clustering Using Rough Set Theory [PDF]
Journal of the ACS Advances in Computer Science, 2007 One fundamental aspect of rough set theory is the search of subsets of attributes that provide the same information for classification purposes as the full set of attributes. In this paper, application of rough set theory to feature selection in document
doaj +1 more source
Individual Expert Selection and Ranking of Scientific Articles Using Document Length
Journal of ICT Research and Applications, 2019 Individual expert selection and ranking is a challenging research topic that has received a lot attention in recent years because of its importance related to referencing experts in particular domains and research fund allocation and management.
Fadly Akbar Saputra +2 more
doaj +1 more source
Digitization of management: automation of the selection and classification in an arbitrary verbal context [PDF]
E3S Web of Conferences, 2023 This article deals with an approach to extracting formal meaning in an arbitrary text document. According to the authors the formal semantic attribute (“semantic pattern”) will allow to solve the problems of automatic classification of verbal context ...
Meshkov Vladimir +2 more
doaj +1 more source
Relevance popularity: A term event model based feature selection scheme for text classification. [PDF]
PLoS ONE, 2017 Feature selection is a practical approach for improving the performance of text classification methods by optimizing the feature subsets input to classifiers. In traditional feature selection methods such as information gain and chi-square, the number of
Guozhong Feng +4 more
doaj +1 more source
Environmental Policy and Law, 1993 UNEP – Resolutions 168 Commission on Sustainable Development – Keynote Address (Al Gore) 183 UN/ECE – Lucerne Declaration 185 – Lucerne Conference – Conclusions from the Questionnaire regarding seven environmental conventions ...
openaire +2 more sources
Firefly Algorithm based Feature Selection for Arabic Text Classification
Journal of King Saud University: Computer and Information Sciences, 2020 Due to the large number of documents available in the internet, emails and digital libraries, document classification is becoming a crucial task extremely required.
Souad Larabi Marie-Sainte, Nada Alalyani
doaj +1 more source
A review of evaluation of optimal binarization technique for character segmentation in historical manuscripts [PDF]
, 2010 A number of binarization techniques have been proposed in the past for automatic document processing. Although some studies have aimed to evaluate the performance of binarization algorithms, there is no automatic system that is capable of selecting the ...
Fung, C.C. +3 more
core +1 more source
Multi-Document Neural Reading Comprehension Based on Bi-Directional Attention Mechanism [PDF]
Jisuanji gongcheng, 2020 Machine Reading Comprehension(MRC) is a question and answer task that automatically generates or extracts corresponding answers for a given text and specific questions.This task is of great significance to evaluating the understanding of computer systems
TANG Hongxuan, WU Kaili, ZHU Mengmeng, HONG Yu
doaj +1 more source