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Entity-level Sentiment Analysis in Contact Center Telephone Conversations. (arXiv:2210.13401v2 [cs.CL] UPDATED)
Oct. 27, 2022, 1:16 a.m. | Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shayna Gardiner, Pooja Hiranandani, Shashi Bhushan TN
cs.CL updates on arXiv.org arxiv.org
Entity-level sentiment analysis predicts the sentiment about entities
mentioned in a given text. It is very useful in a business context to
understand user emotions towards certain entities, such as products or
companies. In this paper, we demonstrate how we developed an entity-level
sentiment analysis system that analyzes English telephone conversation
transcripts in contact centers to provide business insight. We present two
approaches, one entirely based on the transformer-based DistilBERT model, and
another that uses a convolutional neural network supplemented …
analysis arxiv contact center conversations sentiment sentiment analysis
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