Empirical Study of Text Augmentation on Social Media Text in Vietnamese

Empirical Study of Text Augmentation on Social Media Text in Vietnamese

In the text classification problem, the imbalance of labels in datasets affect the performance of the text-classification models. Practically, the data about user comments on social networking sites not altogether appear…

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Existing approaches for named entity recognition suffer from data sparsity problems when conducted on short and informal texts, especially user-generated social media content. Semantic augmentation is a potential way to …

Data Augmentation for Mental Health Classification on Social Media

The mental disorder of online users is determined using social media posts. The major challenge in this domain is to avail the ethical clearance for using the user generated text on social media platforms. Academic re se…

An Empirical Study on Uncertainty Identification in Social Media Context

Improving short text classification through global augmentation methods

We study the effect of different approaches to text augmentation. To do this we use 3 datasets that include social media and formal text in the form of news articles. Our goal is to provide insights for practitioners and…