GitHub / kennedyCzar / NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY
Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kennedyCzar%2FNLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY
PURL: pkg:github/kennedyCzar/NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY
Stars: 10
Forks: 5
Open issues: 0
License: mit
Language: Python
Size: 171 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: almost 2 years ago
Pushed at: almost 3 years ago
Last synced at: almost 2 years ago
Topics: callbacks, clustering-algorithm, corpus-processing, dash, elbow-method, french-nlp, kmeans-clustering, latentdirichletallocation, lemmatization, nlp, nlp-machine-learning, pca, plotly, plotly-analytics-projects, plotly-dash, plotly-python, silhouette, stemming, stopwords-removal, unsupervised-machine-learning