A Python tool for text analysis using TF-IDF, lemmatization, stopword filtering, and frequency visualization.
An AI agent skill for reusing 23+ Python chart templates and layering complementary data perspectives, with targeted guidance on useful missing inputs.
Several tools for text comparison
Python scripts generating word clouds from text with the wordcloud library, on ocean and sea themes. Reusable text-visualisation example.
Turn prose into deterministic, traceable topographic SVG maps.
A fully interactive and customizable reading experience for Ludwig Wittgenstein's Tractatus Logico-Philosophicus.
Advanced graph view for Obsidian: text analysis, topic modeling, and AI with InfraNodus AI text analysis tool: https://infranodus.com
Beautiful visualizations of how language differs among document types.
A docsify plugin to render graph like plantuml, mermaid, ..etc
C++ weather data analysis toolkit with candlestick computation, text visualization, filtering, and linear regression prediction on 40 years of European temperature data.
Canvas-based semantic-zoom reader for prose — click a word to zoom into more detail while the idea under your cursor stays anchored.
A lightweight Python library for constructing, processing, and visualizing constituent trees.
[French] Nuage de mots avec plusieurs réglages dont la forme et les couleur | [English] Wordcloud in Js with several settings like shapes or colors
Explore text at Project Gutenberg
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.
A Python tool for text analysis using TF-IDF, lemmatization, stopword filtering, and frequency visualization.
Animated text encoding, decoding, and transforming React component.
Repositório utilizado para o plano de PIBIC 2020-2021 com o prof. Dr. Hendrik Macedo. Tem como finalidade criar um dataset para treinamento de modelos de aprendizado de máquina sobre as 5 emoções de Ekman e analisar os sentimentos predominantes durante os primeiros 12 meses da pandemia de COVID-19.
Dataiku DSS plugin to visualize text as word clouds in 59 languages ☁
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