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.

Humata: ChatGPT for Your Data Files

Are immune-related adverse events associated with the efficacy of immune checkpoint inhibitors in patients with cancer? A systematic review and meta-analysis, BMC Medicine

Student: Top Hat Products, Purchases & Refunds

Free Receipt Template & FAQs - Rocket Lawyer

The 4 best read it later apps in 2023

Malda District Map - Colaboratory

7 Best Websites for Academic Research • CEREBRO

TM 10-3530-202-24 Operational And Field Maintenance Manual: Sewing Machines For The Repair Of Parachutes And Allied Equipment, Singer Models : United States. Department of the Army : Free Download, Borrow, and Streaming : Internet Archive

Help - Europe PMC

Determining who has cited a work, University Libraries

What is Europe PMC?

Full-text query how-to - Azure AI Search

BibleTime