Descrição
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.
PubMed & PubMed Central - Library Toolkit for Professional Support Staff - LibGuides at University of Arizona
FREE Fact Sheet Template - Download in Word, Google Docs, Excel, PDF, Google Sheets, Illustrator, Photoshop, Apple Pages, PPT, Publisher, Google Slides, EPS, SVG, JPG
Munch Peanut Gluten Free Candy Bar, Full Size - 1.42 oz
Weekly Paclitaxel in the Adjuvant Treatment of Breast Cancer
Library Databases v. search engines - ppt download
15 Best Sites to Read Free Books Online Without Downloading
Brewpub Menu — HOMES Brewery
📚 FREE Printable Reading Scavenger Hunt Library Activities for Kids
BibleTime
de
por adulto (o preço varia de acordo com o tamanho do grupo)
