fastText_multilingual
hate-speech-and-offensive-language
| fastText_multilingual | hate-speech-and-offensive-language | |
|---|---|---|
| 1 | 2 | |
| 1,186 | 755 | |
| 0.0% | - | |
| 0.0 | 1.9 | |
| about 1 year ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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fastText_multilingual
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Ask HN: What's the coolest non standard application of LLMs you've seen?
(6 years ago)
Aligning the fastText vectors of 78 languages
https://github.com/babylonhealth/fastText_multilingual/blob/...
hate-speech-and-offensive-language
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How to make a class column for a classifier from sentiment analysis results?
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):
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Where do we go from here and who is going to step up to help us?
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.
What are some alternatives?
toxicity - The world's largest social media toxicity dataset.
cia - š±āš» CIA Factbook data analysis and dataset reconstruction, modification, and tuning go here.
Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.
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/
airline-sentiment-streaming - Streaming with Airline Sentiment. Utilizing Cloudera Machine Learning, Apache NiFi, Apache Hue, Apache Impala, Apache Kudu
100daysofpractice-dataset - Data from Instagram posts with the hashtag #100daysofpractice.
hashformers - Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).
PLOD-AbbreviationDetection - This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication
bubo-2t - Bubo-2T is a Steampunk companion robot that can recognise hand gestures and tweet out messages
investigation-youtube-ad-placements - Data and code from our stories, "Google Has a Secret Blocklist that Hides YouTube Hate Videos from AdvertisersāBut Itās Full of Holes," and "Google Blocks Advertisers from Targeting Black Lives Matter YouTube Videos."