malaya
afinn
| malaya | afinn | |
|---|---|---|
| 1 | 1 | |
| 457 | 439 | |
| 1.3% | - | |
| 9.0 | 2.6 | |
| 8 days ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
malaya
-
Public Sentiment regarding COVID19 from Malay Tweets vs Daily Case Numbers of Malaysia
Hey guys! I've been doing some web scraping on Malay tweets regarding COVID19. I decided to do some sentiment analysis using a NLP model (model is publicly available at https://github.com/huseinzol05/malaya). What the model does is taking in a chunk of text and outputs a sentiment score between 0 to 1 (1 being the text has 100% positive sentiment and 0 being the text is 100% negative). The model is not 100% accurate but it is considered to be comparable to other state-of-the-art models.
afinn
-
Is it possible to deploy a large NLP model for free?
I tried lighter deep learning models like DistilBERT, but they performed worse/on-par with a simple dictionary-based model like AFINN . (The use case is scoring the positivity of news headlines). Haven't looked at Spacy though.
What are some alternatives?
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
wink-eng-lite-model - English lite language model for wink-nlp.
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
wink-nlp - Developer friendly Natural Language Processing ✨
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)
German-NER-BERT - German NER on Legal Data using BERT
n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.
nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
API-Danmark - 🇩🇰 Liste over danske API'er