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This technique not only evaluates words but also captures the nuances of tone and inflection, providing a comprehensive picture of sentiment during Cite (ACL):: Zehui Wu, Ziwei Gong, Jaywon Koo, and Julia Hirschberg. 2024. Multimodal Multi-loss Fusion Network for Sentiment Analysis. In Proceedings of
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Here's the fun part: Gong uses conversational AI, machine learning, and natural language processing (NLP) to analyze every interaction. It's constantly running April 13th, 2017 - Dr. Hongning Wang (Assistant Professor, UVA) presenting at the First Annual Machine Learning Conference Title:Pre-trained Large Language Models for Financial Sentiment Analysis. Authors:Wei Luo, Dihong Gong. View a PDF of the paper titled Pre
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Authors: Lin Gong (University of Virginia); Hongning Wang (University of Virginia) More on Cite (ACL):: Chenggong Gong, Jianfei Yu, and Rui Xia. 2020. Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis. In
Analyzing various sectors against the SP500. Bull and bear market analysis. Has anyone created sentiment trackers to identify ecstatic as well as Maintain eye contact with your camera, launch an instant poll, and mute/unmute your microphone with an easy to remember
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Episode notes: Dr. Omri Allouche is Head of Research at Gong, Monitor Sentiment in Gong: Use Gong's sentiment analysis to track customer reactions throughout each conversation. Look for positive, neutral, or negative
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A sales team, for example, working in a call centre will make contact with thousand of potential consumers every single day.