generating-reviews-discovering-sentiment
Review generator
Generates reviews and discovers sentiment using a language model
Code for "Learning to Generate Reviews and Discovering Sentiment"
2k stars
240 watching
380 forks
Language: Python
last commit: over 1 year ago paper
Related projects:
Repository | Description | Stars |
---|---|---|
| Large-scale unsupervised language modeling for robust sentiment classification and related NLP tasks | 1,061 |
| Training methods and tools for fine-tuning language models using human preferences | 1,240 |
| A benchmark for evaluating reinforcement learning agent performance on procedurally generated game-like environments. | 1,030 |
| A Python library for sentiment analysis using word sense disambiguation and machine learning algorithms. | 172 |
| Generates English-language text similar to Yelp reviews using a Char-RNN model | 17 |
| Generating abstracts of scientific papers from citations | 9 |
| This project provides code and model for improving language understanding through generative pre-training using a transformer-based architecture. | 2,167 |
| Analyzes sentiment in Thai text using machine learning algorithms and natural language processing techniques. | 12 |
| Analyzes opinions expressed on various aspects of entities in Hindi reviews to provide granular sentiment recommendations | 11 |
| Provides primitives for sparse attention mechanisms used in transformer models to improve computational efficiency and scalability | 1,533 |
| A generative model with tractable likelihood and easy sampling, allowing for efficient data generation. | 1,921 |
| Detects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset. | 58 |
| An application providing sentiment analysis tools for financial assets and securities using GPT models and Google search results | 120 |
| An automated feature generation tool for tabular data | 806 |
| A tool for generating Swift code from OpenAPI specs | 418 |