Entity-level Sentiment Analysis in Contact Center Telephone Conversations

2022-10-24 · Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shayna Gardiner, Pooja Hiranandani, Shashi Bhushan TN

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 with some heuristic rules.

📄 PDF Abstract BibTeX arXiv:2210.13401

Code (0)

등록된 구현이 없습니다.

Tasks

Sentiment Analysis

Methods 이 논문이 사용한 방법론

Multi-Head Attention 설명 없음

Attention 설명 없음

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

Layer Normalization Unlike batch normalization, Layer Normalization directly estimates the normalization statistics from the summed inputs…

Residual Connection 설명 없음

Dropout Dropout is a regularization technique for neural networks that drops a unit (along with connections) at training time with a specified probability $p$ (a common value is…

Refunds@Expedia|||How do I get a full refund from Expedia? “How do I get a full refund from Expedia? How do I get a full refund from Expedia? – Call ☎️ +1-(888) 829 (0881) or +1-805-330-4056 or +1-805-330-4056 for Quick Help &…

Dense Connections Dense Connections, or Fully Connected Connections, are a type of layer in a deep neural network that use a linear operation where every input is connected to every output…

Chinese Fine-Grained Financial Sentiment Analysis with Large Language Models

2023-06-25 · Yinyu Lan, Yanru Wu, Wang Xu, Weiqiang Feng 외

Entity-level fine-grained sentiment analysis in the financial domain is a crucial subtask of sentiment analysis and currently faces numerous challenges. The primary challenge stems from the lack of high-quality and large…

Sentiment Analysis

Entity-Level Sentiment Analysis (ELSA): An exploratory task survey

2023-04-27 · COLING 2022 10 · Egil Rønningstad, Erik Velldal, Lilja Øvrelid

This paper explores the task of identifying the overall sentiment expressed towards volitional entities (persons and organizations) in a document -- what we refer to as Entity-Level Sentiment Analysis (ELSA). While ident…

coreference-resolution Coreference Resolution Sentence Sentiment Analysis+1

FinEntity: Entity-level Sentiment Classification for Financial Texts

2023-10-19 · Yixuan Tang, Yi Yang, Allen H Huang, Andy Tam 외

In the financial domain, conducting entity-level sentiment analysis is crucial for accurately assessing the sentiment directed toward a specific financial entity. To our knowledge, no publicly available dataset currently…

Classification Sentiment Analysis Sentiment Classification

Entity-Level Sentiment: More than the Sum of Its Parts

2024-07-04 · Egil Rønningstad, Roman Klinger, Lilja Øvrelid, Erik Velldal

In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studies exploring how such texts express thei…

Sentence Sentiment Analysis

Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification

2025-09-15 · Md. Mithun Hossain, Sanjara, Md. Shakil Hossain, Sudipto Chaki arxiv

Entity-level sentiment classification involves identifying the sentiment polarity linked to specific entities within text. This task poses several challenges: effectively modeling the subtle and complex interactions betw…

Coreference Resolution Sentiment Analysis