jsPCA_robust

<p>matrix, with each row containing the distribution over terms
for a topic, with as many rows as there are topics in the model, and as
many columns as there are terms in the vocabulary.</p>

<p>This function is largely a copy of the repsective function in
https://github.com/cpsievert/LDAvis/blob/master/R/createJSON.R, however,
with a fix to avoid log(0) proposed by Maren-Eckhoff in
https://github.com/cpsievert/LDAvis/issues/56</p>

Fast and memory-friendly tools for text vectorization, topic
modeling (LDA, LSA), word embeddings (GloVe), similarities. This package
provides a source-agnostic streaming API, which allows researchers to perform
analysis of collections of documents which are larger than available RAM. All
core functions are parallelized to benefit from multicore machines.

Dmitriy Selivanov

text2vec

jsPCA_robust: (numerically robust) Dimension reduction via Jensen-Shannon Divergence & Principal Components

Description

Usage

Arguments