Proceedings ArticleDOI
Analysis of Machine Learning Algorithms for Predicting Personality: Brief Survey and Experimentation
Aditi V. Kunte,Suja S. Panicker +1 more
TLDR
In the current work, real-time Twitter data is fetched through a standard API and thereby created a sample experimental dataset and it was observed that Naive Bayes yielded the highest accuracy of 71.67% as compared to the other classifiers.Abstract:
Use of social media is increasing day by day. A huge amount of textual data, as well as images, continue to explode to the web daily. 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. In the current work we have fetched real-time Twitter data through a standard API and thereby created a sample experimental dataset. We have employed several popular machine learning algorithms such as kNN, Naive Bayes and SVM. It was observed that Naive Bayes yielded the highest accuracy of 71.67% as compared to the other classifiers.read more
Citations
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Book ChapterDOI
Investigating the Role of Machine Learning in Detecting Psychological Tension
TL;DR: A detailed review regarding the role and efficiency of popular machine learning algorithms such as Bayes, SVM, ANN, kNN, random forests in determining psychological tension is presented in this article.
Book ChapterDOI
A Novel Proof of Concept for Twitter Analytics Using Popular Hashtags: Experimentation and Evaluation
TL;DR: This work retrieved real-time twitter data pertaining to three currently popular hashtags in the Indian context and carried out extensive experimentation analysis about the prevailing sentiment of a strata of population.
Book ChapterDOI
Investigating the Impact of Data Analysis and Classification on Parametric and Nonparametric Machine Learning Techniques: A Proof of Concept
TL;DR: In this paper, the performance of four popular machine learning classification algorithms (Naive Bayes, decision trees, logistic regression, and random forest) on two popular benchmarked datasets (wine quality dataset and glass identification dataset) is compared.
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HealthCare Data Analytics: A Machine Learning-Based Perspective
TL;DR: In this paper , the design, development, functionalities, and upcoming trends in investigation of Big Data Analytics are discussed along with advantages in relation to infrastructural, organizational, operational, managerial, strategic areas, and articulation of latest trending areas.
Journal ArticleDOI
Personality Detection of Applicants And Employees Using K-mode Algorithm And Ocean Model
TL;DR: In this paper , a model is created to identify applicants' personality types so that employers may find qualified candidates by examining a person's facial expression, speech intonation, and resume.
References
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#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media
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Proceedings ArticleDOI
Deep learning based personality recognition from Facebook status updates
Jianguo Yu,Konstantin Markov +1 more
TL;DR: This work applies deep learning methods to automatically learn suitable data representation for the personality recognition task using the Facebook status updates data to investigate several neural network architectures on the myPersonality shared task.
Proceedings ArticleDOI
A Multi-Task Cascaded Network for Prediction of Affect, Personality, Mood and Social Context Using EEG Signals
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