• Reena Deshmukh
• Faraz Baig
• Shubham Chavan
• Prachi Patil

Sentiment analysis often referred to as opinion mining, has gained immense importance and relevance in the context of multimedia content, such as images, videos, and audio, due to the ever-increasing volume and diversity of multimedia data being generated and shared across various platforms. This form of analysis goes beyond traditional text-based sentiment analysis by extracting and understanding the emotions and opinions expressed in non-textual media. In an era dominated by user-generated content on social media, sentiment analysis on multimedia serves several crucial purposes. It enables businesses to gauge customer reactions to their products through image & video posts, helping them refine marketing strategies and improve products. Furthermore, as we move towards more immersive technologies like virtual and augmented reality, sentiment analysis on multimedia content can enhance user experiences personalizing content and adapting it to individual emotional response.

Natural Language Processing, Sentiment Analysis, Neural Network, Image Processing.

"Sentiment Analysis on Multimedia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.168-178, June-2024, Available :http://www.jetir.org/papers/JETIRGH06028.pdf

"Sentiment Analysis on Multimedia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp168-178, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06028.pdf