hate-speech-and-offensive-language VS 100daysofpractice-dataset

Compare hate-speech-and-offensive-language vs 100daysofpractice-dataset and see what are their differences.

100daysofpractice-dataset

Data from Instagram posts with the hashtag #100daysofpractice. (by rafaelbeirigo)
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hate-speech-and-offensive-language 100daysofpractice-dataset
2 1
779 0
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1.9 0.0
over 1 year ago about 2 years ago
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hate-speech-and-offensive-language

Posts with mentions or reviews of hate-speech-and-offensive-language. We have used some of these posts to build our list of alternatives and similar projects.
  • How to make a class column for a classifier from sentiment analysis results?
    1 project | /r/learnpython | 24 Jan 2022
    I've used NRCLex to perform sentiment analysis on some Twitter data. I have hate speech classifier code (https://github.com/t-davidson/hate-speech-and-offensive-language/blob/master/classifier/final_classifier.ipynb) I want to pass the dataset through, but before I can I need to have a "class" column for the model. For those not familiar, NRCLex returns scores for 10 emotions: anticipation, joy, anger, fear, surprise, disgust, positive, negative, sadness and trust. The table looks like this (letters denoting emotions):
  • Where do we go from here and who is going to step up to help us?
    1 project | news.ycombinator.com | 28 Jan 2021
    Some of this exists, and both Quora and Facebook (among others) use it extensively. Both hate speech and porn are good targets for machine learning. It needs supervision, but it can take a lot of load off human moderators.

    Open source implementations exist, e.g.:

    https://github.com/t-davidson/hate-speech-and-offensive-lang...

    I suspect more message board will want to start applying these sooner rather than later. Most have already figured out that they need anti-spam tools, rather than it coming as a surprise when they roll things out and it fills up with bots. The technology is similar.

    You mention being able to share that information across boards, and I don't know of any widespread implementation of that. You can, at least, let somebody else handle your authentication, which slightly slows their ability to create new accounts when you blacklist one. I'd like to see those sites distinguish "aged" accounts, so that it at least takes some effort or cost to use a new account.

100daysofpractice-dataset

Posts with mentions or reviews of 100daysofpractice-dataset. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing hate-speech-and-offensive-language and 100daysofpractice-dataset you can also consider the following projects:

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

mac-miller-lyrics-dataset - Dataset with lyrics from Mac Miller

Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.

whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

toxicity - The world's largest social media toxicity dataset.

datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning

cia - 🐱‍💻 CIA Factbook data analysis and dataset reconstruction, modification, and tuning go here.

covid-chestxray-dataset - We are building an open database of COVID-19 cases with chest X-ray or CT images.

PLOD-AbbreviationDetection - This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication

instagram-scraping-fish - A tutorial for scraping Instagram profile information and posts using Scraping Fish API: https://scrapingfish.com

ThoughtSource - A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

OpenFilter - This repository refers to the paper currently under review for the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, under the title "OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters", by Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann and Nuria Oliver.

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