Evolutionary multiobjective feature selection for sentiment analysis
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 …
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
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 …
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 …
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 …
conduct gender research and resolve related issues for sustainable societies. Nevertheless …
Using dynamic pruned n-gram model for identifying the gender of the user
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 …
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 …
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 …
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 …
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 …
identification, is one of the most commonly examined characteristics of online …