sentiment-discovery
Language modeler
Large-scale unsupervised language modeling for robust sentiment classification and related NLP tasks
Unsupervised Language Modeling at scale for robust sentiment classification
1k stars
34 watching
202 forks
Language: Python
last commit: over 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| Detects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset. | 58 |
| Generates reviews and discovers sentiment using a language model | 1,512 |
| A Python library for sentiment analysis using word sense disambiguation and machine learning algorithms. | 172 |
| An implementation of a neural network architecture for sentiment classification using hierarchical attention mechanisms. | 2 |
| Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
| A curated list of large machine learning models tracked over time | 341 |
| A sentiment analysis tool trained on the Stanford Sentiment Treebank using various neural network architectures. | 367 |
| Large-scale language model with improved performance on NLP tasks through distributed training and efficient data processing | 591 |
| Develops and publishes large multilingual language models with advanced mixing-of-experts architecture. | 37 |
| A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
| An open-source framework for adapting representation models to various tasks and industries | 1,743 |
| This repository provides pre-trained models and code for understanding and generation tasks in multiple languages. | 89 |
| A Python library providing an API for sentiment analysis of Polish text using deep learning and Word2vec models | 27 |
| Tools for normalizing and deriving sentiment from Arabic text | 26 |
| A large language model developed to support multiple languages and applications | 648 |