Search Results for author: Siva Uday Sampreeth Chebolu

Found 3 papers, 3 papers with code

OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis

2 code implementations • 23 Sep 2023 • Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio

Aspect-based sentiment analysis (ABSA) delves into understanding sentiments specific to distinct elements within a user-generated review.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

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Code

Survey of Aspect-based Sentiment Analysis Datasets

1 code implementation • 11 Apr 2022 • Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio

Aspect-based sentiment analysis (ABSA) is a natural language processing problem that requires analyzing user-generated reviews to determine: a) The target entity being reviewed, b) The high-level aspect to which it belongs, and c) The sentiment expressed toward the targets and the aspects.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Paper
Code

Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis

1 code implementation • 5 Oct 2021 • Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio

Aspect-based sentiment analysis (ABSA) is an NLP task that entails processing user-generated reviews to determine (i) the target being evaluated, (ii) the aspect category to which it belongs, and (iii) the sentiment expressed towards the target and aspect pair.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

Paper
Code

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