cora

cora.documents

cora.vocab

cora.cites

cora.titles

A collection of 2410 scientific documents in LDA format with links and titles
  from the Cora search engine.

datasets

This package implements latent Dirichlet allocation (LDA)
        and related models.  This includes (but is not limited to)
        sLDA, corrLDA, and the mixed-membership stochastic blockmodel.
        Inference for all of these models is implemented via a fast
        collapsed Gibbs sampler writtten in C.  Utility functions for
        reading/writing data typically used in topic models, as well as
        tools for examining posterior distributions are also included.

Jonathan Chang

Collapsed Gibbs sampling methods for topic models.

cora function

<code>cora.documents</code> and <code>cora.vocab</code>
 comprise a corpus of 2410 documents conforming to the LDA format. <code>cora.titles</code> is a character vector of titles for each
 document (i.e., each entry of <code>cora.documents</code>). <code>cora.cites</code> is a list representing the citations between the
 documents in the collection (see related for format).

format

<cite>Automating the construction of internet protals with machine
 learning. McCallum et al. Information Retrieval. 2000.</cite>

cora: A subset of the Cora dataset of scientific documents.

Description

Usage

Arguments

format

source

See Also

Examples