KH Coder: for Quantitative Content Analysis or Text Mining
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Updated
Apr 8, 2024 - Perl
KH Coder: for Quantitative Content Analysis or Text Mining
Media Cloud is an open source, open data platform that allows researchers to answer quantitative questions about the content of online media.
Discourse Network Analyzer (DNA)
Tools/resources for journalism, media, communication, computational social science
Automatically generate multi-language subtitles using AWS AI/ML services. Machine generated subtitles can be edited to improve accuracy and downstream tracks will automatically be regenerated based on the edits. Built on Media Insights Engine (https://github.com/awslabs/aws-media-insights-engine)
An easy way to collaboratively code social media posts for manual content and discourse analysis
Master's Thesis: Automatic Tagging of Musical Compositions Using Machine Learning Methods
Unleash the power of AI with SuperSummarizeAI! Effortlessly extract, condense, and clip content from webpages and YouTube videos using ChatGPT. Turning endless streams of content into digestible summaries.
castarter - Content analysis starter toolkit for R
Text analysis: planning to publication
Web server app that crawls and saves news articles, provides article API for research
Projekt för att kontinuerligt övervaka en webbplats mätbara kvalitetsfaktorer.
MalwareScan - Unified API frontend to various malware analysis and sandboxing backends.
Code for paper "TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices"
Supporting information for the paper "The narrative of sustainability and circular economy – a longitudinal review of two decades of research” - https://doi.org/10.1016/j.resconrec.2020.105073
An auxiliary tool for thematic analysis in qualitative research
Demo project for uploading binary documents into Couchbase and indexing their metadata & content
ETL Pipeline to ingest and transform GDELT GKG 2.0 records
Next.js/SQLite app for qualitative coding and content analysis; prototype currently in (sometimes) working alpha.
We employ a text content analysis framework that has been successful in other studies to identify important features of automobile service parts
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