Enhancing MBTI Personality Trait Prediction from Imbalanced Social Media Data Using Hybrid Query Expansion Ranking and Glo Ve- BiLSTM-Reference-Cited by-同舟云学术

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Enhancing MBTI Personality Trait Prediction from Imbalanced Social Media Data Using Hybrid Query Expansion Ranking and Glo Ve- BiLSTM

Published:2023-08-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Fuzzy Systems (FUZZ)
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Author:

Pradnyana Gede Aditra¹,Anggraeni Wiwik²,Yuniarno Eko Mulyanto³,Purnomo Mauridhi Hery³

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Department of Information System,Surabaya,Indonesia

3. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering, Department of Computer Engineering,Surabaya,Indonesia

Funder

Lembaga Pengelola Dana Pendidikan (LPDP) Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10309665/10309668/10309718.pdf?arnumber=10309718

Reference25 articles.

1. QER: a new feature selection method for sentiment analysis

2. Emotion Detection in Twitter Social Media Using Long Short-Term Memory (LSTM) and Fast Text

3. Enhancing sentiment classification performance using hybrid Query Expansion Ranking and Binary Particle Swarm Optimization with Adaptive Inertia Weights

4. A combination of query expansion ranking and ga-svm for improving indonesian sentiment classification performance;prastyo;Procedia CIRP,2021

5. Extrovert and Introvert Classification based on Myers-Briggs Type Indicator(MBTI) using Support Vector Machine (SVM)

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