A review of semi-supervised learning for text classification
JM Duarte, L Berton - Artificial intelligence review, 2023 - Springer
A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …
related to text mining, especially text classification. To perform this task we usually need a …
[PDF][PDF] Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method.
The high rates of development of information technologies today have led to the fact that
large amounts of information have been accumulated in various databases. The issue of …
large amounts of information have been accumulated in various databases. The issue of …
Sentiment classification of social network text based on AT-BiLSTM model in a big data environment
J Liu - International Journal of Information Technologies and …, 2022 - igi-global.com
To tackle the challenge of ineffective sentiment prediction using current sentiment
classification methods, this paper introduces a method social network text sentiment …
classification methods, this paper introduces a method social network text sentiment …
[PDF][PDF] Analysis of Classification Rules Optimization Using Genetic Algorithm
V Pinjarkar, A Jain - Journal of Design Engineering, 2021 - researchgate.net
One of the appealing and essential subjects among researchers in the field of medical and
computer science is diagnosing illness by considering the features that have the most …
computer science is diagnosing illness by considering the features that have the most …
Classification of socially generated medical data
R Alnashwan - 2019 - cora.ucc.ie
The growth of online health communities, particularly those involving socially generated
content, can provide considerable value for society. Participants can gain knowledge of …
content, can provide considerable value for society. Participants can gain knowledge of …