Proceedings ArticleDOI
Using textual data for Personality Prediction:A Machine Learning Approach
Aditi V. Kunte,Suja S. Panicker +1 more
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TLDR
Predicting personality with the help of data through social media is a promising approach as this method does not require any questionnaires to be filled by users thus reducing time and increasing credibility.Abstract:
Personality is an important parameter as it differentiates various individuals from one another. Personality prediction is an evergreen area of research. Predicting personality with the help of data through social media is a promising approach as this method does not require any questionnaires to be filled by users thus reducing time and increasing credibility. Thus having knowledge of personality is an interesting domain for researchers to work on. Predicting personality has many applications in real world. Use of social media is increasing day by day. Huge amount of textual data as well as images continue to explode to the web daily. Current work focuses on Linear Discriminate Analysis, Multinomial Naive Bayes and AdaBoost over Twitter standard dataset.read more
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Book ChapterDOI
Image Sentiment Analysis Using Deep Learning
Vipul Salunke,Suja S. Panicker +1 more
TL;DR: It is indicative that a combination of fast recurrent neural networks and CNN may produce high accuracy with minimum time complexity, as existing researchers reflect CNN provides around 96.50% average accuracy for sentiment classification on the flicker image dataset.
Journal Article
A Comprehensive Study on Social Network Mental Disorders Detection Via Online Social Media Mining
TL;DR: This paper aims to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach.
Proceedings ArticleDOI
Recommender System for Postpartum Depression Monitoring based on Sentiment Analysis
Marcilio B. Carneiro,Mario W. L. Moreira,Silas S. L. Pereira,Erica L. Gallindo,Joel J. P. C. Rodrigues +4 more
TL;DR: In this article, a context-aware solution based on text mining for gestational depression prevention is presented, which can be used as support to health professionals in monitoring high-risk pregnancies.
Journal ArticleDOI
Personality Modelling of Indonesian Twitter Users with XGBoost Based on the Five Factor Model
Journal ArticleDOI
The Performance of Personality-based Recommender System for Fashion with Demographic Data-based Personality Prediction
TL;DR: A new method to predict personality implicitly based on demographic data is proposed, based on findings by previous researchers stating that there is a correlation between demographic data and personality trait.
References
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Journal Article
A Comprehensive Study on Social Network Mental Disorders Detection Via Online Social Media Mining
TL;DR: This paper aims to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach.
Proceedings ArticleDOI
Predicting Emotions From Multimodal Users' Data
TL;DR: A deep multi-modal architecture for emotions predic-tion, which takes advantage of deep learning, user multimodal data and the hierarchy of human memory is presented.