A simple “click” that create LDA topic models for text mining A python library I wrote --available with "pip install easyLDA" If you have Python and a collection of texts in a file, simply as “pip install easyLDA”, then in shell run $ easyLDA, won’t be long before your topic model ready. fun, LDA, package, python, text mining, topic modeldeep learning, jupyter notebook, machine learning, project, Python, text mining, topic modeling, vitualization Posted on February 13, 2018
unsupervised learning-3 Dimension reduction: PCA, tf-idf, sparse matrix, twitter posts clustering Intrinsic dimension, text mining, Word frequency arrays, csr_matrix, TruncatedSVD Dimension reduction: PCA, Intrinsic dimension tf-idf, Word frequency arrays sparse matrix, csr_matrix, TruncatedSVD fun, pca, text mining, tf-idfdata cleasing, jupyter notebook, Python, statistic, text mining, unsupervised learning Posted on February 18, 2017