cvcio/rtaa-classifier
Comments & Twitter accounts gRPC classification service.
This service helps you understand the nature of social media engagement by classifying Twitter accounts and comments. You provide raw Twitter account data or user comments, and it outputs classifications such as 'Influencer,' 'Active,' 'Amplifier,' or 'Unknown' for accounts, and identifies toxic or harmful content in comments across multiple languages. It's designed for researchers, journalists, and analysts studying online behavior and discourse.
No commits in the last 6 months.
Use this if you need to quickly categorize Twitter accounts by their behavioral patterns or identify potentially toxic content in user comments for research or analysis.
Not ideal if you need a binary 'bot or not' classification for Twitter accounts, as this tool focuses on behavioral amplification.
Stars
5
Forks
3
Language
Python
License
—
Category
Last pushed
Sep 04, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/cvcio/rtaa-classifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
muhammadadyl/SarcasmDetection
This project used in my dissertation for detecting sarcasm in twitter dataset using...
MatteoFasulo/Sexism-detection
Natural Language Processing for Sexism Detection
ilias-ant/toxic-spans-detection
An attempt at SemEval 2021 Task 5: Toxic Spans Detection.
hate-alert/Fear-speech-analysis
Can fear be used for polarisation and spreading negativity? Our paper accepted in The Web...
eftekhar-hossain/CUET_NLP-EACL_2021
This repository contains the system description and the codes that we implemented for...