small-text VS NewsMTSC

Compare small-text vs NewsMTSC and see what are their differences.

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)
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small-text NewsMTSC
4 1
520 132
0.4% -
7.6 7.2
5 days 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.

small-text

Posts with mentions or reviews of small-text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-06.

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 small-text and NewsMTSC you can also consider the following projects:

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torchrec - Pytorch domain library for recommendation systems

automl-docker - CLI-based tool to automatically build ML models from training data into a servable Docker container

cog - Containers for machine learning

DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer

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

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.

HugNLP - CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊