Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese-Reference-Cited by-同舟云学术

Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval
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Author:

Villalobos Cristian Muoz¹^ORCID,Forero Leonardo Mendoza²^ORCID,De Mello Harold²^ORCID,Valencia Cesar³^ORCID,Orjuela Alvaro⁴^ORCID,Tanscheit Ricardo⁵^ORCID,Cavalcanti Marco Pacheco¹^ORCID

Affiliation:

1. Electircal Engineer (ICA Laboratory), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil

2. Electircal Engineer, Rio de Janeiro State University (UERJ), Brazil

3. Engineering Mechatronics Program, Saint Thomas University, Colombia

4. Engineer, University of the Pacific, Per

5. Electircal Engineer, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3582768.3582805

Reference20 articles.

1. Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014).

2. A Literature Review in Preprocessing for Sentiment Analysis for Brazilian Portuguese Social Media

3. Sentiment Analysis of Tweets in Brazilian Portuguese with Convolutional Neural Networks

4. Exploring Resources for Sentiment Analysis in Portuguese Language

5. Social and Institutional Presence of the Presidents of the Americas on social media: An analysis of the Communication on Twitter about COVID-19

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