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BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews [article]

Kuncahyo Setyo Nugroho, Anantha Yullian Sukmadewa, Haftittah Wuswilahaken DW, Fitra Abdurrachman Bachtiar, Novanto Yudistira
2021 arXiv   pre-print
This study examines the effectiveness of fine-tuning BERT for sentiment analysis using two different pre-trained models.  ...  User reviews in the textual form are unstructured data, creating a very high complexity when processed for sentiment analysis.  ...  Based on recent studies and the need for user evaluation of mobile apps in Indonesian, we conducted a sentiment analysis using BERT fine-tuning.  ... 
arXiv:2107.06802v1 fatcat:b2chwfutmngghn62pmqcemr7ye

Enhancing the Takhrij Al-Hadith based on Contextual Similarity using BERT Embeddings

Emha Taufiq Luthfi, Zeratul Izzah Mohd Yusoh, Burhanuddin Mohd Aboobaider
2021 International Journal of Advanced Computer Science and Applications  
The model is built with the exercises on top of some semi-supervised BERT models that employ BERT Fine-Tuning.  ...  Fine-Tuning Fine-Tuning Improvement The fine-tune BERT embedding built on cahya/bert-base-  ... 
doi:10.14569/ijacsa.2021.0121133 fatcat:rbfy374yxna5zctbtf7lplj6vm

A Survey on Aspect-Based Sentiment Classification

Gianni Brauwers, Flavius Frasincar
2021 ACM Computing Surveys  
With the constantly growing number of reviews and other sentiment-bearing texts on the Web, the demand for automatic sentiment analysis algorithms continues to expand.  ...  Aspect-based sentiment classification (ABSC) allows for the automatic extraction of highly fine-grained sentiment information from text documents or sentences.  ...  Pre-training large language models like BERT on large language datasets from other domains and then fine-tuning the model parameters using a small domain dataset is a popular technique to handle this problem  ... 
doi:10.1145/3503044 fatcat:hvd6gvhp6fgxtfavqarjsqv2g4

Applications of Artificial Intelligence in Battling Against Covid-19: A Literature Review

Mohammad-H. Tayarani-N.
2020 Chaos, Solitons & Fractals  
We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works.  ...  The rapid growth of the pandemic has wreaked havoc and prompted the need for immediate reactions to curb the effects.  ...  The algorithm is fine tuned to extract features from CT scan images. In order to find the best features, Principal Component Analysis is proposed.  ... 
doi:10.1016/j.chaos.2020.110338 pmid:33041533 pmcid:PMC7532790 fatcat:gl3i37hag5gflajsa7fh6khvva

The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020 [article]

Thayer Alshaabi, David R. Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
2021 arXiv   pre-print
We find that for the most common languages on Twitter there is a growing tendency, though not universal, to retweet rather than share new content.  ...  Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter.  ...  Changes in platform design and the increasing popularity of mobile apps promoted the RT as a mechanism for spreading.  ... 
arXiv:2003.03667v8 fatcat:3cru7dopjbfxfbrroi3yuymnne

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022 arXiv   pre-print
for historically disadvantaged populations.  ...  Progress in fair Machine Learning hinges on data, which can be appropriately used only if adequately documented.  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris  ... 
arXiv:2202.01711v2 fatcat:5hf4a42pubc5vnt7tw3al4m5bq

An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants

Gloria Comandini, Viviana Patti
2019 Proceedings of the Third Workshop on Abusive Language Online   unpublished
on people:  ...  Thus, human ratings in the context of toxicity in language raise important questions around the various socio-cultural biases that affect those ratings, but also on the impact it has on the psychological  ...  We thank Michael Miller Yoder, Daniel Clothiaux, and the anonymous reviewers for their helpful comments and feedback. Acknowledgements We thank the anonymous reviewers.  ... 
doi:10.18653/v1/w19-3518 fatcat:liwo47b4kzblhifxy7gn4lrifq

Homo Faber : technology and culture in India, China and the west 1500-1972 [article]

Claude Alphonso Alvares, Swan Liat Kwee, Bronckhorst, B (Ben) Van
The framework itself might appear to many as being wholly new (and partly audacious), yet on no account can it be considered as being entirely original.  ...  It has in fact already been set forth in an earlier work, albeit in an area of scholarly endeavour other than the one with which this thesis is properly concerned.  ...  Contracts were forced on peasants for stipulated supplies, anda fine of 300 rupees for every chest short.  ... 
doi:10.6100/ir68612 fatcat:baib6d4jhrcl3gynmlemxxpnk4