SentimentAnalysis
Sentiment analyzer
A sentiment analysis tool trained on the Stanford Sentiment Treebank using various neural network architectures.
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
367 stars
13 watching
47 forks
Language: Python
last commit: over 1 year ago albertbertbert-modeldistilbertflaskhuggingfacehuggingface-transformerhuggingface-transformersmachine-learningnlppytorchpytorch-implementationsentiment-analysisstanford-sentiment-treebanktransformervuejs
Related projects:
Repository | Description | Stars |
---|---|---|
| A sentiment analysis tool for Hungarian language with REST API and Docker container support | 11 |
| An application that uses natural language processing to determine the sentiment behind user-generated text data | 52 |
| A tool for analyzing the sentiment of Hungarian news articles based on word embeddings and dictionaries. | 1 |
| Detects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset. | 58 |
| An open source Swift library for sentiment analysis of phrases using word lists and emoji rankings. | 13 |
| A Python library for sentiment analysis using word sense disambiguation and machine learning algorithms. | 172 |
| An application providing sentiment analysis tools for financial assets and securities using GPT models and Google search results | 120 |
| Provides a simple sentiment analysis tool with extensible analysis strategies | 14 |
| A sentiment analysis tool based on text patterns and enhancements. | 83 |
| Analyzes sentiment in Thai text using machine learning algorithms and natural language processing techniques. | 12 |
| A Python library providing a wordlist-based approach for sentiment analysis across multiple languages. | 453 |
| Large Arabic sentiment analysis datasets and tools for training machine learning models | 114 |
| Tools for normalizing and deriving sentiment from Arabic text | 26 |
| A Python library providing an API for sentiment analysis of Polish text using deep learning and Word2vec models | 27 |
| A deep learning model for analyzing sentiment and emotion in text based on emojis. | 1,525 |