Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Directions in abusive language training data, a systematic review: Garbage in, garbage out
Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …
measuring abusive content such as hate speech and harassment have gained traction due …
Autoregressive entity retrieval
[KSIĄŻKA][B] Feature engineering for machine learning and data analytics
Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …
mining algorithms cannot work without data. Little can be achieved if there are few features …
Improving multimodal named entity recognition via entity span detection with unified multimodal transformer
In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts.
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …