umibench
Testbench for sentiment and factuality in texts. (by seinecle)
malaya
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/ (by mesolitica)
| umibench | malaya | |
|---|---|---|
| 1 | 1 | |
| 2 | 458 | |
| - | 1.5% | |
| 6.0 | 9.0 | |
| 3 months ago | 15 days ago | |
| Roff | Jupyter Notebook | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
umibench
Posts with mentions or reviews of umibench.
We have used some of these posts to build our list of alternatives
and similar projects.
malaya
Posts with mentions or reviews of malaya.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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.
What are some alternatives?
When comparing umibench and malaya you can also consider the following projects:
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
awesome-hungarian-nlp - A curated list of NLP resources for Hungarian
afinn - AFINN sentiment analysis in Python
nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).