Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques
LR Gomez, T Watt, KO Babaagba… - Proceedings of the …, 2023 - dl.acm.org
In recent years, text has been the main form of communication on social media platforms
such as Twitter, Reddit, Facebook, Instagram and YouTube. Emotion Recognition from these
platforms can be exploited for all sorts of applications. Through the means of a review of the
current literature, it was found that Transformer-based deep learning models show very
promising results when trained and fine-tuned for emotion recognition tasks. This paper
provides an overview of the architecture for three of the most popular Transformer-based …
such as Twitter, Reddit, Facebook, Instagram and YouTube. Emotion Recognition from these
platforms can be exploited for all sorts of applications. Through the means of a review of the
current literature, it was found that Transformer-based deep learning models show very
promising results when trained and fine-tuned for emotion recognition tasks. This paper
provides an overview of the architecture for three of the most popular Transformer-based …
[PDF][PDF] Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques
RG Luis, T Watt, KO Babaagba, C Chrysoulas… - napier-repository.worktribe.com
Nowadays, communication on social media platforms such as Twitter, Reddit, and Facebook
have predominantly been text-based. This includes those on secondary communication
platforms such as Instagram and YouTube. Emotion Recognition from these platforms can
be applied to fields such as marketing, recommendation systems, education, health and
mental wellbeing, law enforcement among others. To process and analyze such enormous
amounts of data and ultimately extract emotions, there exist several types of techniques such …
have predominantly been text-based. This includes those on secondary communication
platforms such as Instagram and YouTube. Emotion Recognition from these platforms can
be applied to fields such as marketing, recommendation systems, education, health and
mental wellbeing, law enforcement among others. To process and analyze such enormous
amounts of data and ultimately extract emotions, there exist several types of techniques such …
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