Big Five Personality Prediction from Social Media Data using Machine Learning Techniques
| Main Authors: | Suman Maloji, Kasiprasad Mannepalli, Navya Sravani. J, K. Bhavya Sri, C. Sasidhar |
|---|---|
| Other Authors: | Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) |
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5565694 |
Daftar Isi:
- Personality has been important for a number of types of cooperation; it has useful in predicting job achievement, expert and emotional relationship achievement, and even tendency towards a variety of interfaces. To accurately examine the characters of users, a personality test must be carried out. In numerous areas of online life it is usually impractical to use character research. . We used SVM classification, Random Forest algorithm, Naïve Bayes Algorithm and Logistic regression to comparatively predict the user’s personality accurately. The main goal of the paper is to evaluate the machine learning models using the four parameters- accuracy, precision, recall, f1 score and basing upon these parameters the best machine learning model will be used to classify the big five personality traits of the twitter users.