Information, Free Full-Text

Por um escritor misterioso
Last updated 20 março 2025
Information, Free Full-Text
The rise of social media as a platform for self-expression and self-understanding has led to increased interest in using the Myers–Briggs Type Indicator (MBTI) to explore human personalities. Despite this, there needs to be more research on how other word-embedding techniques, machine learning algorithms, and imbalanced data-handling techniques can improve the results of MBTI personality-type predictions. Our research aimed to investigate the efficacy of these techniques by utilizing the Word2Vec model to obtain a vector representation of words in the corpus data. We implemented several machine learning approaches, including logistic regression, linear support vector classification, stochastic gradient descent, random forest, the extreme gradient boosting classifier, and the cat boosting classifier. In addition, we used the synthetic minority oversampling technique (SMOTE) to address the issue of imbalanced data. The results showed that our approach could achieve a relatively high F1 score (between 0.7383 and 0.8282), depending on the chosen model for predicting and classifying MBTI personality. Furthermore, we found that using SMOTE could improve the selected models’ performance (F1 score between 0.7553 and 0.8337), proving that the machine learning approach integrated with Word2Vec and SMOTE could predict and classify MBTI personality well, thus enhancing the understanding of MBTI.
Information, Free Full-Text
Humata: ChatGPT for Your Data Files
Information, Free Full-Text
The Early Christian Church Fathers.38Volumes. : Roberts, Donaldson, Coxe, Riddle, Richarson, Pick, Menzies, Schaff.1867.1888. : Free Download, Borrow, and Streaming : Internet Archive
Information, Free Full-Text
Easy, Affordable Research
Information, Free Full-Text
3 Smart Ways to Download Free Full Text Articles for Your Literature Review
Information, Free Full-Text
Adventures in Lifelong Learning, Lifelong Learning Programs, Events & Program Series
Information, Free Full-Text
Employee confidentiality agreement - free to use
Information, Free Full-Text
New WoS July 22 Release Notes - Web of Science Group
Information, Free Full-Text
Free Speech Coalition
Information, Free Full-Text
Announcing The GDELT Full Text Search API – The GDELT Project
Information, Free Full-Text
PDF) A new full-text finder tool for linking to scientific articles
Information, Free Full-Text
Dimensions - free version
Information, Free Full-Text
Full-text query how-to - Azure AI Search
Information, Free Full-Text
Dimensions - free version

© 2014-2025 praharacademy.in. All rights reserved.