Associated Press data from the First Text Retrieval Conference (TREC-1) 1992, 
which has being processed by stop-words removal, 
low-frequency words removal and short documents removal.

datasets

Provides implementation of the "Topic SCORE" algorithm that is
proposed by Tracy Ke and Minzhe Wang. The singular value decomposition
step is optimized through the usage of svds() function in 'RSpectra'
package, on a 'dgRMatrix' sparse matrix. Also provides a column-wise
error measure in the word-topic matrix A, and an algorithm for
recovering the topic-document matrix W given A and D based on
quadratic programming.
The details about the techniques are explained in the paper "A new SVD approach to optimal topic estimation" by Tracy Ke and Minzhe Wang (2017) <arXiv:1704.07016>.

Minzhe Wang

TopicScore

The Topic SCORE Algorithm to Fit Topic Models

Tracy Ke

AP function

The data set is an object of class "<code>simple_triplet_matrix</code>" provided by package slam. 
It is a word-document matrix which contains the term frequency of 7000 words in 2134 documents.

AP: Associated Press data

Description

Usage

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Format