Jekyll-based static site for The Programming Historian
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Updated
Jun 12, 2024 - HTML
Jekyll-based static site for The Programming Historian
A React hook for analyzing text.
The great textmining tool that obviates all others
teaching materials for distant reading
Coconut Libtool is the all-in-one data mining and textual analysis tool for librarians or anyone interested in these applications. Our tool does not require any prior knowledge of coding or programming, making it approachable and great for users who want to test out these data analysis and visualization techniques.
An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research using R
KNIME - Text Processing Extension (Labs)
Semi-supervised algorithm for geographical document classification
Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for Siri, GPT-4o, Claude, Llama3, Gemini, and other high-performance open-source LLMs.
BioMedICUS: A biomedical and clinical NLP engine.
MTAP: A framework for distributed text analysis using gRPC and microservices-based architecture.
This is a simple GUI created using tkinter in Python that offers some text analysis features like sentiment analysis etc. using an API.
Shell scripts for accessing the Rosette API endpoints
Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained below.
Semi-supervised algorithm for document scaling
Mono Repository for GengoAI projects
Extracting textual data articles from the given URL (webscraping using goose3) and performing text analysis
GUI and CLI applications in Java for text analysis and data analysis tasks. The GUI application allows users to analyze text input, while the CLI program calculates basic statistics of data from a CSV file.
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