Papers by Pooja Hiranandani

2 papers
Developing a Production System for Purpose of Call Detection in Business Phone Conversations (2022.naacl-industry)

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Challenge: a commercial system detects Purpose of Call statements in call transcripts . the model is based on a set of rules and a neural model .
Approach: They propose a system to detect Purpose of Call statements in English business call transcripts in real time.
Outcome: The proposed model achieves 88.6 F1 on average in various types of business calls and has low inference time.
Entity-level Sentiment Analysis in Contact Center Telephone Conversations (2022.emnlp-industry)

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Challenge: Entity-level sentiment analysis is useful in a business context to understand user emotions towards certain entities.
Approach: They propose to use a model that predicts the sentiment about entities mentioned in a given text to build an entity-level sentiment analysis system that analyzes English telephone conversation transcripts.
Outcome: The proposed system analyzes English telephone conversation transcripts to provide business insight.

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