| Popis: |
Sentiment analysis has been a prominent research domain under data analytics whose outcomes have immensely contributed to business growth. Consumers being an integral part of any business, their data along with feedback are exposed and are prone to privacy breach. Although many researchers have contributed extensively towards privacy preservation,some plentiful gaps and challenges still exist. This paper proposes an approach Sensitivity Context-Awareness (SCA) based privacy preserving sentiment analysis to preserve the privacy of consumer data which is acquired with their consent. Experiments are conducted on synthesized dataset about healthcare services and sentiments including positive, negative, and neutral are obtained while preserving the consumer’s privacy. |
