Text categorization: past and present
Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …
defined text categories using some machine learning algorithms. Normally, it defines the …
[HTML][HTML] Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system …
Various mineral prospectivity modelling (MPM) approaches are available for targeting
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …
[HTML][HTML] Analytics of machine learning-based algorithms for text classification
Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …
automatically sorted into a predefined set of classes. The application of text classification is …
Document-level text classification using single-layer multisize filters convolutional neural network
The rapid growth of electronic documents are causing problems like unstructured data that
need more time and effort to search a relevant document. Text Document Classification …
need more time and effort to search a relevant document. Text Document Classification …
[HTML][HTML] Text categorization with WEKA: A survey
D Merlini, M Rossini - Machine Learning with Applications, 2021 - Elsevier
This work shows the use of WEKA, a tool that implements the most common machine
learning algorithms, to perform a Text Mining analysis on a set of documents. Applying these …
learning algorithms, to perform a Text Mining analysis on a set of documents. Applying these …
Job prediction: From deep neural network models to applications
T Van Huynh, K Van Nguyen… - … on computing and …, 2020 - ieeexplore.ieee.org
Determining the job is suitable for a student or a person looking for work based on their job
descriptions such as knowledge and skills that are difficult, as well as how employers must …
descriptions such as knowledge and skills that are difficult, as well as how employers must …
Exploring deep learning approaches for Urdu text classification in product manufacturing
From last decade, machine learning (ML) techniques have been used for Urdu text
processing. Due to lack of language resources, potential of deep learning (DL) models have …
processing. Due to lack of language resources, potential of deep learning (DL) models have …
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification
In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …
contribution of this paper is manifold. First, it provides a publicly available benchmark …
Multiclass event classification from text
Social media has become one of the most popular sources of information. People
communicate with each other and share their ideas, commenting on global issues and …
communicate with each other and share their ideas, commenting on global issues and …
Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer
F Khojasteh-Leylakoohi, R Mohit, N Khalili-Tanha… - Scientific reports, 2023 - nature.com
Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis.
Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and …
Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and …