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.

Citation Statistics and Citation Rings – Science Integrity Digest

Munch Peanut Gluten Free Candy Bar, Full Size - 1.42 oz

Malda District Map - Colaboratory

The Library Genesis project: The easiest way to find full-text articles online (illegally)? – A Way of Happening

School Library Journal Offers Free Full Access to Content, Digitized Magazines

Weekly Paclitaxel in the Adjuvant Treatment of Breast Cancer

10 Best Free Plagiarism Checkers in 2023

Edited by Mary Bonanno Glose Also available as FSO Online and FSOe Fulltext Sources Online (FSO) is a directory of periodicals accessible online in

Fulltext Sources Online

Home Page: Clinical Gastroenterology and Hepatology

Frontiers The Potential of Research Drawing on Clinical Free Text to Bring Benefits to Patients in the United Kingdom: A Systematic Review of the Literature

Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening - The Lancet Digital Health

Unpaywall