Personality Prediction of Social Network Users using LSTM based Sentiment Analysis-Reference-Cited by-同舟云学术

Personality Prediction of Social Network Users using LSTM based Sentiment Analysis

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)
language:
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Author:

Jaysundara Avishka¹,De Silva Dimanthinie¹,Kumarawadu Priyantha¹

Affiliation:

1. Asia Pacific Institute of Information Technology,School of Computing,Colombo,Sri Lanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761170/9761283/09761329.pdf?arnumber=9761329

Reference32 articles.

1. SMOTE: Synthetic Minority Over-sampling Technique

2. Comparative Study of CNN and RNN Natural Language Processing;yin,2017

3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;devlin,2018

4. Evaluating the validity of Myers?Briggs Type Indicator theory: A teaching tool and window into intuitive psychology;stein;Social Personal Psychol Compass,2019

5. Automatic Personality and Interaction Style Recognition from Facebook Profile Pictures

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