SuiSense VS afinn

Compare SuiSense vs afinn and see what are their differences.

SuiSense

Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge) (by ayaanzhaque)
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SuiSense afinn
13 1
10 439
- -
0.0 2.6
almost 3 years ago about 2 years ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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.

SuiSense

Posts with mentions or reviews of SuiSense. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-12.

afinn

Posts with mentions or reviews of afinn. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SuiSense and afinn you can also consider the following projects:

dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

wink-eng-lite-model - English lite language model for wink-nlp.

FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

nlpaug - Data augmentation for NLP

awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas

chatgpt-comparison-detection - Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

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 !

n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.

API-Danmark - 🇩🇰 Liste over danske API'er

veritaserum - Sentiment analysis based on afinn-165, emojis and some enhancements.