LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text
- Author
- Pranaydeep Singh (UGent) and Els Lefever (UGent)
- Organization
- Abstract
- This paper describes our contribution to the SemEval-2020 Task 9 on Sentiment Analysis for Code-mixed Social Media Text. We investigated two approaches to solve the task of Hinglish sentiment analysis. The first approach uses cross-lingual embeddings resulting from projecting Hinglish and pre-trained English FastText word embeddings in the same space. The second approach incorporates pre-trained English embeddings that are incrementally retrained with a set of Hinglish tweets. The results show that the second approach performs best, with an F1-score of 70.52% on the held-out test data.
- Keywords
- LT3
Downloads
-
2020.semeval-task9.pdf
- full text (Published version)
- |
- open access
- |
- |
- 123.62 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8684760
- MLA
- Singh, Pranaydeep, and Els Lefever. “LT3 at SemEval-2020 Task 9 : Cross-Lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text.” Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), Association for Computational Linguistics, 2020, pp. 1288–93.
- APA
- Singh, P., & Lefever, E. (2020). LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text. Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 1288–1293. Barcelona, Spain: Association for Computational Linguistics.
- Chicago author-date
- Singh, Pranaydeep, and Els Lefever. 2020. “LT3 at SemEval-2020 Task 9 : Cross-Lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text.” In Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 1288–93. Barcelona, Spain: Association for Computational Linguistics.
- Chicago author-date (all authors)
- Singh, Pranaydeep, and Els Lefever. 2020. “LT3 at SemEval-2020 Task 9 : Cross-Lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text.” In Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 1288–1293. Barcelona, Spain: Association for Computational Linguistics.
- Vancouver
- 1.Singh P, Lefever E. LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text. In: Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020). Barcelona, Spain: Association for Computational Linguistics; 2020. p. 1288–93.
- IEEE
- [1]P. Singh and E. Lefever, “LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text,” in Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), Barcelona, Spain, 2020, pp. 1288–1293.
@inproceedings{8684760,
abstract = {{This paper describes our contribution to the SemEval-2020 Task 9 on Sentiment Analysis for
Code-mixed Social Media Text. We investigated two approaches to solve the task of Hinglish
sentiment analysis. The first approach uses cross-lingual embeddings resulting from projecting
Hinglish and pre-trained English FastText word embeddings in the same space. The second
approach incorporates pre-trained English embeddings that are incrementally retrained with a set
of Hinglish tweets. The results show that the second approach performs best, with an F1-score of
70.52% on the held-out test data.}},
author = {{Singh, Pranaydeep and Lefever, Els}},
booktitle = {{Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020)}},
isbn = {{9781952148316}},
keywords = {{LT3}},
language = {{eng}},
location = {{Barcelona, Spain}},
pages = {{1288--1293}},
publisher = {{Association for Computational Linguistics}},
title = {{LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text}},
url = {{https://www.aclweb.org/anthology/2020.semeval-1.0.pdf#page.1288}},
year = {{2020}},
}