Analysis of Factors Influencing Love Confession and Result Prediction Based on Artificial Intelligence Algorithms and Questionnaire Surveys

DOI

10.2991/978-2-38476-271-2_79How to use a DOI?

Keywords

Love Confession; Artificial Intelligence; Machine learning; Questionnaire Surveys; Human-Centric Data Science

Abstract

This pioneering research integrates human-centric data science into the field of psychology, specifically focusing on the analysis of factors influencing love confession and outcome prediction. By conducting a comprehensive questionnaire survey, we collected love confession-related data from 1000 young individuals in China. Following preprocessing techniques such as normalization, SMOTE oversampling, and polynomial feature engineering, we conducted in-depth analysis of the influencing factors and their correlations using methods including Point-biserial analysis, Spearman correlation coefficient, and random forest feature importance. Subsequently, we employed various machine learning algorithms, such as logistic regression, decision tree, randomforest, xgboost, Adaboosting and Stacking, to construct classification models for predicting love confession outcomes, achieving a maximum F1-score of 0.9 on the test dataset. Finally, we successfully employed a feed-forward neural network model, achieving an F1-score of 1.0 for love confession outcome prediction. This study represents a successful exploration of the novel application of artificial intelligence algorithms in the context of love confession.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanming Chen
AU  - Xiaolin He
PY  - 2024
DA  - 2024/07/29
TI  - Analysis of Factors Influencing Love Confession and Result Prediction Based on Artificial Intelligence Algorithms and Questionnaire Surveys
BT  - Proceedings of the 2024 5th International Conference on Mental Health, Education and Human Development (MHEHD 2024)
PB  - Atlantis Press
SP  - 649
EP  - 659
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-271-2_79
DO  - 10.2991/978-2-38476-271-2_79
ID  - Chen2024
ER  -