GPT is an effective tool for multilingual psychological text analysis
The social and behavioral sciences have been increasingly using automated text analysis to
measure psychological constructs in text. We explore whether GPT, the large-language …
measure psychological constructs in text. We explore whether GPT, the large-language …
Afrisenti: A twitter sentiment analysis benchmark for african languages
Africa is home to over 2,000 languages from more than six language families and has the
highest linguistic diversity among all continents. These include 75 languages with at least …
highest linguistic diversity among all continents. These include 75 languages with at least …
Bactrian-x: Multilingual replicable instruction-following models with low-rank adaptation
Instruction tuning has shown great promise in improving the performance of large language
models. However, research on multilingual instruction tuning has been limited due to the …
models. However, research on multilingual instruction tuning has been limited due to the …
MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of Datasets.
R Van Der Goot - Proceedings of the 17th International Workshop …, 2023 - aclanthology.org
To improve the ability of language models to handle Natural Language Processing (NLP)
tasks and intermediate step of pre-training has recently beenintroduced. In this setup, one …
tasks and intermediate step of pre-training has recently beenintroduced. In this setup, one …
Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
C Suhaeni, HS Yong - Applied Sciences, 2023 - mdpi.com
In this paper, we explore the effectiveness of the GPT-3 model in tackling imbalanced
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
Nlnde at semeval-2023 task 12: Adaptive pretraining and source language selection for low-resource multilingual sentiment analysis
This paper describes our system developed for the SemEval-2023 Task 12" Sentiment
Analysis for Low-resource African Languages using Twitter Dataset". Sentiment analysis is …
Analysis for Low-resource African Languages using Twitter Dataset". Sentiment analysis is …
The skipped beat: A study of sociopragmatic understanding in llms for 64 languages
Instruction tuned large language models (LLMs), such as ChatGPT, demonstrate remarkable
performance in a wide range of tasks. Despite numerous recent studies that examine the …
performance in a wide range of tasks. Despite numerous recent studies that examine the …
Evaluating emotion arcs across languages: Bridging the global divide in sentiment analysis
D Teodorescu, SM Mohammad - arxiv preprint arxiv:2306.02213, 2023 - arxiv.org
Emotion arcs capture how an individual (or a population) feels over time. They are widely
used in industry and research; however, there is little work on evaluating the automatically …
used in industry and research; however, there is little work on evaluating the automatically …
UMUTeam at SemEval-2023 task 12: Ensemble learning of LLMs applied to sentiment analysis for low-resource African languages
JA García-Díaz, C Caparros-Laiz… - Proceedings of the …, 2023 - aclanthology.org
These working notes summarize the participation of the UMUTeam in the SemEval 2023
shared task: AfriSenti, focused on Sentiment Analysis in several African languages. Two …
shared task: AfriSenti, focused on Sentiment Analysis in several African languages. Two …