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
Citations
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Proceedings ArticleDOI
Study and Analysis of Emotion Classification on Textual Data
TL;DR: In this article, a novel deep learning model, Long Short-Term Memory and Recurrent Neural Network (LSTM-RNN) was used to classify text emotions into multiple classes and categorize text for better accuracy.
Book ChapterDOI
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.
Proceedings ArticleDOI
Personality Prediction Based on Users' Tweets
TL;DR: An advanced framework to identify and scrape tweets and retweets of Twitter user accounts and eventually applying Machine Learning algorithms for Personality Prediction is proposed.
References
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TL;DR: In this paper, a 10-item measure of the Big-Five personality dimensions is proposed for situations where very short measures are needed, personality is not the primary topic of interest, or researchers can tolerate the somewhat diminished psychometric properties associated with very brief measures.
Journal ArticleDOI
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Journal ArticleDOI
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Journal ArticleDOI
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Proceedings ArticleDOI
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