📄 Text Mining

Document Analysis, Pattern Discovery, Information Extraction, Natural Language Processing

EASM buyer's guide now available
ncsc.gov.uk·14h
📡Feed Security
Why has this microRNA review paper been cited more than 2,000 times?
retractionwatch.com·19h
📊Citation Graphs
AI in the classroom: the laptop specs to look out for to level up your learning
techradar.com·13h
⚡Homebrew CPUs
category-labs/monad
github.com·5h
🔗Functional Compilers
Semantic Dictionary Encoding
falvotech.com·2d·
Discuss: Hacker News
🌀Brotli Dictionary
Snip Snip
feed.tedium.co·1d
🔍BitFunnel
Weasel words and co.: Guide to recognising AI-generated texts on Wikipedia
heise.de·2d
📜Binary Philology
Balance between refactoring and inheritance in your code
github.com·2d·
Discuss: Hacker News
✅Format Verification
Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
arxiv.org·1d
🏛Digital humanities
Unveiling Hidden Structures: A New Algorithm for Cross-Graph Harmony by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🌈Spectral Methods
B-TGAT: A Bi-directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data
arxiv.org·1d
🧮Vector Embeddings
Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
arxiv.org·6d
📚Digital Humanities
Pixel to Path: AI-Powered Vectorization for Everyone
dev.to·10h·
Discuss: DEV
🏺Compression Museums
Automated Sentiment-Driven Campaign Optimization for Targeted Cancer Awareness
dev.to·2d·
Discuss: DEV
🎛️Feed Filtering
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
arxiv.org·2d
📊Learned Metrics
EmoBench-Reddit: A Hierarchical Benchmark for Evaluating the Emotional Intelligence of Multimodal Large Language Models
arxiv.org·2d
🎯Dependent Parsing
LLMs: Erase the Past, Preserve the Future
dev.to·1d·
Discuss: DEV
💻Local LLMs
Building Prude
dev.to·22h·
Discuss: DEV
🌀Brotli Dictionary
Shrinking the Sky: AI-Powered Hyperspectral Analysis for Every Satellite by Arvind Sundararajan
dev.to·7h·
Discuss: DEV
🌈Spectroscopy
🚀 Day 17 of My Python Learning Journey
dev.to·1d·
Discuss: DEV
⛏️Grammar Mining