Abstract:
The surge of social media highlights the necessity for sophisticated instruments to assess public sentiment toward individuals and entities. Present approaches often fall...Show MoreMetadata
Abstract:
The surge of social media highlights the necessity for sophisticated instruments to assess public sentiment toward individuals and entities. Present approaches often fall short in capturing the multifaceted nature of online discourse, including nuances like sarcasm and humor. Consequently, our comprehension of public opinion remains deficient, impeding informed decision-making in today's digital landscape. To remedy this, we present a specialized AI-driven sentiment analysis framework designed explicitly for social media. Leveraging advanced techniques in natural language processing and machine learning, our framework endeavors to provide a nuanced comprehension of public sentiment, equipping stakeholders with the means to navigate the intricate terrain of social media adeptly.
Date of Conference: 24-27 July 2024
Date Added to IEEE Xplore: 04 October 2024
ISBN Information: