Analyzing sentiments in elearning: A comparative study of bangla and romanized bangla text using transformers
In the modern world, learning is becoming increasingly critical due to rapid technological
breakthroughs, which highlight the need for continuous skill development in both the …
breakthroughs, which highlight the need for continuous skill development in both the …
Application of classical and advanced Machine Learning models to predict personality on social media
P Sánchez-Fernández, LGB Ruiz… - Expert Systems with …, 2023 - Elsevier
Knowing personality traits and how people tend to think, feel and behave has been always
an appealing and studied topic. This interest together with the vast amount of data …
an appealing and studied topic. This interest together with the vast amount of data …
Comparison of the performance of machine learning techniques in the prediction of employee
Human Resources' purpose is to assign the best people to the right job at the right time, train
and qualify them, and provide evaluation methods to track their performance and safeguard …
and qualify them, and provide evaluation methods to track their performance and safeguard …
When attention is not enough to unveil a text's author profile: Enhancing a transformer with a wide branch
R López-Santillán, LC González… - Neural Computing and …, 2023 - Springer
Author profiling (AP) is a highly relevant natural language processing (NLP) problem; it
deals with predicting features of authors such as gender, age and personality traits. It is …
deals with predicting features of authors such as gender, age and personality traits. It is …
Enhancing Personality Classification through Textual Analysis: A Deep Learning Approach Utilizing MBTI and Social Media Data
Personality computing has grown significantly in use, with useful applications emerging in
fields of study like human-robot interaction and recommendation systems. Traditional …
fields of study like human-robot interaction and recommendation systems. Traditional …
Comparative analysis of machine learning techniques for the prediction of employee performance
J Adeniyi, AE Adeniyi, JO Yetunde… - …, 2022 - eprints.lmu.edu.ng
Human Resources' purpose is to assign the best people to the right job at the right time, train
and qualify them, and provide evaluation methods to track their performance and safeguard …
and qualify them, and provide evaluation methods to track their performance and safeguard …
Sentiment Analysis of Twitter Data for COVID-19 Posts
Abstract COVID-19 (Coronavirus Disease of 2019) is now a genuine danger to the health of
the world's population. Vaccines capable of halting this pandemic have received much …
the world's population. Vaccines capable of halting this pandemic have received much …
Personality prediction from social media posts using text embedding and statistical features
S Majima, K Markov - 2022 17th Conference on Computer …, 2022 - ieeexplore.ieee.org
Recent advances in deep learning based language models have boosted the performance
in many downstream tasks such as sentiment analysis, text summarization, question …
in many downstream tasks such as sentiment analysis, text summarization, question …
Personalized Career-Path Recommendation Model for Information Technology Students in Indonesia
One of the challenging decisions for students is taking a job specialization. To make their
decisions, they use subjective perceptions of friends or family due to the lack of guidance …
decisions, they use subjective perceptions of friends or family due to the lack of guidance …
A Robust Team Building Recommendation System by Leveraging Personality Traits Through MBTI and Deep Learning Frameworks
Effective teamwork is essential to the success of organizations, necessitating that executives
implement efficient strategies for fostering collaboration. This paper proposes a novel …
implement efficient strategies for fostering collaboration. This paper proposes a novel …