#自然语言处理#Text preprocessing, representation and visualization from zero to hero.
#自然语言处理#Beautiful visualizations of how language differs among document types.
#自然语言处理#Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
#自然语言处理#Notebooks for the Seattle PyData 2017 talk on Scattertext
#自然语言处理#Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualizations and more.
Advanced graph view for Obsidian: text analysis, topic modeling, and AI with InfraNodus AI text analysis tool: https://infranodus.com
A lightweight Python library for constructing, processing, and visualizing constituent trees.
Interactive visual tool for the demonstration of topic evolution
#自然语言处理#Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
#自然语言处理#Visual analytics application for qualitative text analysis
A docsify plugin to render graph like plantuml, mermaid, ..etc
#自然语言处理#This package integrates many basic Chinese NLP functions, making Python-based Chinese word processing and information extraction simple and convenient.
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 programmin...
Data Visualization Projects
#自然语言处理#Dataiku DSS plugin to visualize text as word clouds in 59 languages ☁
integrates spatial and textual data processing tools into a modular software package which features preprocessing, geocoding, disambiguation and visualization
Visualization of the most frequent words in the German 2019 EU election programs
Vehicle complaints visualization: Exploring entities with non-photorealistic rendering.
#自然语言处理#This repository consists of Bengali Text-Visualization using Word2Vec Model. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Empirical applications on Amerd conflict event using ACLED data