hashformers VS NewsMTSC

Compare hashformers vs NewsMTSC and see what are their differences.

hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs). (by ruanchaves)
hashtag-segmentor word-segmentation Transformers transformers-gpt2 Deep Learning NLP Twitter tweet-analysis tweets-classification sentiment-analysis sentiment-classification sentiment-polarity twitter-sentiment-analysis Natural Language Processing Bert Transformer Segmentation Paper large-language-models llms
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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. (by fhamborg)
news-articles Dataset tsc Cuda Pytorch Deep Learning text-classification sentiment-analysis sentiment-classification
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hashformers NewsMTSC
2 1
63 132
- -
6.2 7.2
11 months ago 5 months ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

NewsMTSC

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

What are some alternatives?

When comparing hashformers and NewsMTSC 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.

3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

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

small-text - Active Learning for Text Classification in Python

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

torchrec - Pytorch domain library for recommendation systems

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

cog - Containers for machine learning

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

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

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

twig - twig.py - a twitter web3 influencer truffle pig used for finding engaged users

hashformers vs Twitter-sentiment-analysis NewsMTSC vs 3d-ken-burns hashformers vs FinBERT NewsMTSC vs small-text hashformers vs should-i-follow NewsMTSC vs torchrec hashformers vs cellpose NewsMTSC vs cog hashformers vs hate-speech-and-offensive-language NewsMTSC vs chatgpt-comparison-detection hashformers vs pytorch-sentiment-analysis hashformers vs twig