AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis-Reference-Cited by-同舟云学术

AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Data Mining Workshops (ICDMW)
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Author:

Kocon Jan,Radom Jarema,Kaczmarz-Wawryk Ewa,Wabnic Kamil,Zajaczkowska Ada,Zasko-Zielinska Monika

Funder

Ministry of Education

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9679833/9679835/09679899.pdf?arnumber=9679899

Reference54 articles.

1. Modeling customer satisfaction from unstructured data using a Bayesian approach

2. What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools

3. MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews

4. Recognition of emotions, valence and arousal in largescale multi-domain text reviews;koco?;Human Language Technologies As A Challenge for Computer Science and Linguistics,2019

5. Building word-emotion mapping dictionary for online news;rao;SDAD 2012 The 1st International Workshop on Sentiment Discovery from Affective Data,2012

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3. Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

4. MultiAspectEmo: Multilingual and Language-Agnostic Aspect-Based Sentiment Analysis;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11

5. Sentiment Analysis of International and Foreign Chinese-Language Texts with Multilevel Features;Discrete Dynamics in Nature and Society;2022-05-25