The great textmining tool that obviates all others
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Updated
Jun 5, 2024 - Python
The great textmining tool that obviates all others
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.
A React hook for analyzing text.
Scripts used for keyword extraction and visualisation in our Applied Cognitive Science exam project, June 2024
Interactive R lessons
BioMedICUS: A biomedical and clinical NLP engine.
MTAP: A framework for distributed text analysis using gRPC and microservices-based architecture.
A collection of Python scripts for common utility tasks including file manipulation, word counting, longest word detection, and grade categorization. Perfect for quick and easy solutions to everyday programming problems.
Simple Python application for detecting plagiarism between text files.
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.
Mono Repository for GengoAI projects
An advanced system leveraging Machine Learning (ML) and Natural Language Processing (NLP) for accurate student answer evaluation with 89% accuracy.
Text-analysis support for Django clients, talking through HTTP API to an extended spaCy deployment.
A text analysis application for performing common NLP tasks through web API. Relies strongly on the Python spaCy library. Dashboard interfaces are expected to be developed, mainly, as distinct web applications.
Meteor API Server
Jekyll-based static site for The Programming Historian
This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
Semi-supervised algorithm for document scaling
The purpose of this project is to develop and compare two machine learning models to detect spam emails. Spam detection is a crucial task in email filtering systems to protect users from unwanted and potentially harmful emails. The project involves using a dataset containing various features extracted from email content.
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