SuiSense VS FinBERT

Compare SuiSense vs FinBERT and see what are their differences.

SuiSense

Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge) (by ayaanzhaque)

FinBERT

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097 (by yya518)
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SuiSense FinBERT
13 1
10 519
- -
0.0 0.0
almost 3 years ago 9 months 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.

FinBERT

Posts with mentions or reviews of FinBERT. We have used some of these posts to build our list of alternatives and similar projects.
  • New to hugginface - A question
    1 project | /r/huggingface | 26 Sep 2022
    For FinBERT the trained model has an Apache license https://github.com/yya518/FinBERT/blob/master/LICENSE but the data is semi-public so I would be careful for commercial use.

What are some alternatives?

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

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

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 !

nlpaug - Data augmentation for NLP

indonlu - The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

afinn - AFINN sentiment analysis in Python

converse - Conversational text Analysis using various NLP techniques

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

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

hashformers - Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

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