A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
Automated colorectal polyp detection based on image enhancement and dual-path CNN architecture
Colorectal Cancer (CRC) has the highest mortality rate of all cancers and is currently the
third leading cause of cancer-related death worldwide. The early detection and diagnosis of …
third leading cause of cancer-related death worldwide. The early detection and diagnosis of …
Creating building-level, three-dimensional digital models of historic urban neighborhoods from Sanborn Fire Insurance maps using machine learning
Sanborn Fire Insurance maps contain a wealth of building-level information about US cities
dating back to the late 19th century. They are a valuable resource for studying changes in …
dating back to the late 19th century. They are a valuable resource for studying changes in …
Emotion recognition method for call/contact centre systems
M Płaza, R Kazała, Z Koruba, M Kozłowski… - Applied Sciences, 2022 - mdpi.com
Nowadays, one of the important aspects of research on call/contact centre (CC) systems is
how to automate their operations. Process automation is influenced by the continuous …
how to automate their operations. Process automation is influenced by the continuous …
SigmoidF1: A smooth F1 score surrogate loss for multilabel classification
Multiclass multilabel classification is the task of attributing multiple labels to examples via
predictions. Current models formulate a reduction of the multilabel setting into either multiple …
predictions. Current models formulate a reduction of the multilabel setting into either multiple …
Text document classification using fuzzy rough set based on robust nearest neighbor (FRS-RNN)
B Behera, G Kumaravelan - Soft Computing, 2021 - Springer
The fuzzy rough set (FRS) acts as a powerful mathematical tool to deal with uncertain data,
and it has many applications in feature selection, dimensionality reduction and classification …
and it has many applications in feature selection, dimensionality reduction and classification …
A fluorescent sensor array based on antibiotic-stabilized metal nanoclusters for the multiplex detection of bacteria
To address the need for facile, rapid detection of pathogens in water supplies, a fluorescent
sensing array platform based on antibiotic-stabilized metal nanoclusters was developed for …
sensing array platform based on antibiotic-stabilized metal nanoclusters was developed for …
Automatic document classification via transformers for regulations compliance management in large utility companies
The operation of large utility companies such as Consolidated Edison Company of New
York, Inc.(Con Edison) typically rely on large quantities of regulation documents from …
York, Inc.(Con Edison) typically rely on large quantities of regulation documents from …
VisFormers—Combining Vision and Transformers for Enhanced Complex Document Classification
S Dutta, S Adhikary, AD Dwivedi - Machine Learning and Knowledge …, 2024 - mdpi.com
Complex documents have text, figures, tables, and other elements. The classification of
scanned copies of different categories of complex documents like memos, newspapers …
scanned copies of different categories of complex documents like memos, newspapers …
Predicting demand for long-term care using Japanese healthcare insurance claims data
J Sato, N Mitsutake, M Kitsuregawa… - … Health and Preventive …, 2022 - jstage.jst.go.jp
Background: Driven by the rapid aging of the population, Japan introduced public long-term
care insurance to reinforce healthcare services for the elderly in 2000. Precisely predicting …
care insurance to reinforce healthcare services for the elderly in 2000. Precisely predicting …