Sentimental Analysis using Text, Audio, Video Data

• Author(s): Pooja B R; Prajwal Gowda N; R M Guruprasad; Tabreek Malk; Abdul Rehaman
• Paper ID: 1712512
• Page: 55-57
• Published Date: 01-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 6 December-2025

Abstract

Sentimental analysis using audio and video has become an essential technique for understanding public opinion on online platforms. Unlike text-based methods, audio and video provide natural expressions such as tone, pitch, facial reactions, and behavioral cues, which help in identifying the true emotional state of a person. This work focuses on a dual-modality sentiment analysis system where audio is processed using speech-to-text conversion and linguistic feature extraction, while video frames are analyzed to detect facial expressions and behavioral cues. The results from both modalities are combined to produce a more accurate sentiment classification. This approach improves reliability, reduces noise-based errors, and provides a more realistic sentiment outcome for social media reviews and real-time interactions.

Citations

IRE Journals:
Pooja B R, Prajwal Gowda N, R M Guruprasad, Tabreek Malk, Abdul Rehaman "Sentimental Analysis using Text, Audio, Video Data" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 55-57 https://doi.org/10.64388/IREV9I6-1712512

IEEE:
Pooja B R, Prajwal Gowda N, R M Guruprasad, Tabreek Malk, Abdul Rehaman "Sentimental Analysis using Text, Audio, Video Data" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712512