Opinion Classification with Kili and HuggingFace AutoTrain

Huggy Lingo: Using Machine Learning to Improve Language Metadata on the Hugging Face Hub

Unsupervised sentiment neuron

We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being trained only to predict the next character in the text of Amazon reviews.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis

arXiv:2607. 05259v1 Announce Type: cross Abstract: Sentiment analysis has been a primary domain under Natural Language Processing (NLP) from its inception as it plays a vital role in both real-world and research applications.

Databricks ❤️ Hugging Face: up to 40% faster training and tuning of Large Language Models

huggingface_hub v1.0: Five Years of Building the Foundation of Open Machine Learning

HelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Head

arXiv:2608.22922v1 Announce Type: new Abstract: We present HelaBERT, a family of two BERT-based masked language models pre-trained from scratch on approximately 1 billion tokens of Sinhala text sourc...