Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Health Record Management System – A Web-based Application
Volume-3 | Issue-4
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3
Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3
Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3
Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3
Suspicious Human Activity Detection System
Volume-2 | Issue-4
ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3
EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2
Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4
Volume - 4 | Issue - 1 | march 2022
Published
13 May, 2022
Information about the user and their feelings, thoughts, and emotions are expressed through the status, comments, and updates on social media or other platforms. These user-generated contents are an important source for recognizing a user’s personality. Due to the increase in the amount of various Indian language contents on social media, there is a necessity to recognize personality from Indian languages. The challenges have increased in the collection and generation of datasets due to the lack of resources for Indian languages. In the field of personality recognition, the researchers have utilized machine learning and deep learning techniques to infer users’ personalities. The machine learning and deep learning models require enough labeled data for the training. Unlike traditional machine learning, deep learning techniques automatically generate features and require a significant amount of labeled data. For the personality recognition task from the Indian language, no sufficient annotated dataset is available and data preparation for the personality recognition task in the language has become a critical issue. This paper represents the existing gold standard dataset for personality recognition in English and also focuses on the challenges of a large amount of labeled data preparation in the Indian language.
KeywordsPersonality Personality Recognition Machine Learning Deep Learning
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