hashformers VS FinBERT

Compare hashformers vs FinBERT and see what are their differences.

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hashformers FinBERT
2 1
63 524
- -
6.2 0.0
11 months ago 10 months ago
Python Jupyter Notebook
MIT License 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.

hashformers

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

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 hashformers and FinBERT you can also consider the following projects:

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.

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

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

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 !

should-i-follow - 🦄 An NLP application just for the lols: built with Haystack to get an overview of what a user is posting about on Twitter

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)

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

converse - Conversational text Analysis using various NLP techniques

hate-speech-and-offensive-language - Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

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

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