Sevinç Ilhan Omurca

Orcid: 0000-0003-1214-9235

According to our database1, Sevinç Ilhan Omurca authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A document image classification system fusing deep and machine learning models.
Appl. Intell., June, 2023

Turkish User Review Dataset.
Dataset, January, 2023

2022
Multi-Class Document Image Classification using Deep Visual and Textual Features.
Int. J. Comput. Intell. Appl., 2022

2020
Concept-LDA: Incorporating Babelfy into LDA for aspect extraction.
J. Inf. Sci., 2020

Enhancement of the heuristic optimization based on extended space forests using classifier ensembles.
Int. Arab J. Inf. Technol., 2020

NET-LDA: a novel topic modeling method based on semantic document similarity.
Turkish J. Electr. Eng. Comput. Sci., 2020

Multi-view Document Classification with Co-training.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2019
A new approach for a domain-independent turkish sentiment seed lexicon compilation.
Int. Arab J. Inf. Technol., 2019

2018
Extended Feature Spaces Based Classifier Ensembles for Sentiment Analysis of Short Texts.
Inf. Technol. Control., 2018

Using Adjusted Laplace Smoothing to Extract Implicit Aspects from Turkish Hotel Reviews.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

2017
The evaluation of heterogeneous classifier ensembles for Turkish texts.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

2016
The effectiveness of homogenous ensemble classifiers for Turkish and English texts.
Proceedings of the International Symposium on INnovations in Intelligent SysTems and Applications, 2016

A Novel Method for Extracting Feature Opinion Pairs for Turkish.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016

2015
An alternative evaluation of post traumatic stress disorder with machine learning methods.
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

2013
An intelligent supplier evaluation, selection and development system.
Appl. Soft Comput., 2013


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