Evolutionary multiobjective feature selection for sentiment analysis

A Deniz, M Angin, P Angin - IEEE Access, 2021 - ieeexplore.ieee.org
Sentiment analysis is one of the prominent research areas in data mining and knowledge
discovery, which has proven to be an effective technique for monitoring public opinion. The …

AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model

R Sarwar, PS Teh, F Sabah, R Nawaz… - IEEE …, 2024 - ieeexplore.ieee.org
In this investigation, we propose a solution for the author's gender identification task called
AGI-P. This task has several real-world applications across different fields, such as …

Biological gender identification in Turkish news text using deep learning models

P Tüfekci, M Bektaş Kösesoy - Multimedia Tools and Applications, 2024 - Springer
Identifying the biological gender of authors based on the content of their written work is a
crucial task in Natural Language Processing (NLP). Accurate biological gender identification …

Machine-learning-based gender distribution prediction from anonymous news comments: The case of Korean news portal

JH Suh - Sustainability, 2022 - mdpi.com
Anonymous news comment data from a news portal in South Korea, naver. com, can help
conduct gender research and resolve related issues for sustainable societies. Nevertheless …

Using dynamic pruned n-gram model for identifying the gender of the user

NM Ali, A Alshahrani, AM Alghamdi, B Novikov - Applied sciences, 2022 - mdpi.com
Organizations analyze customers' personal data to understand and model their behavior.
Identifying customers' gender is a significant factor in analyzing markets that help plan the …

Author gender identification for Urdu articles

R Sarwar - … Conference on Computational and Corpus-Based …, 2022 - Springer
In recent years, author gender identification has gained considerable attention in the fields
of computational linguistics and artificial intelligence. This task has been extensively …

Context-and sentiment-aware machine learning models for sentiment analysis

FA Deniz Kızılöz - 2023 - open.metu.edu.tr
With the advances in information technologies, the amount of available data on web sources
where people express their opinions increases continually. Sentiment analysis supports …

Context-And Sentiment-Aware Machine Learning Models for Sentiment Analysis

FAD Kızılöz - 2023 - search.proquest.com
With the advances in information technologies, the amount of available data on web sources
where people express their opinions increases continually. Sentiment analysis supports …

Using peer-to-peer communication characteristics to improve gender prediction in electronic discourse

J Aksu - 2021 - search.proquest.com
As the past literature suggests, identifying the gender of the author, namely gender
identification, is one of the most commonly examined characteristics of online …