Audio and Text Sentiment Analysis of Radio Broadcasts
Naman Dhariwal,
Sri Chander Akunuri,
Shivama
et al.
Abstract:The rapid growth of radio broadcast services has created a vast amount of audio data that can provide insights into public opinion and emotions. This research extends the boundaries of sentiment analysis to audio data and aims to propose a computational approach which is termed as bifurcate and mix, for sentiment analysis and emotion detection that leverages advanced natural language processing techniques from audio sentiment analysis tools like Vokaturi, transcription services like AssemblyAI and text sentime… Show more
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