yelp: Yelp Dataset

In clintpgeorge/clda: Approximate Inference Algorithms for the Compound Latent Dirichlet Allocation Model

Description

It is a collection of restaurant reviews from Yelp. This corpus consists of 24,310 reviews and 9,517 unique words.

Usage

data("yelp")

Format

vocab a vector of unique words in the corpus vocabulary.

docs a list of documents in the corpus. Each item (represents a document) is a matrix (2 X U) of word frequencies, where U represents the number of unique words in a document. Each column in the matrix represents a unique word in a document and contains

• vocabulary-id. the index of the word in the vocabulary (starts with 0)

• frequency. the relative frequency of the word in the document

docs.metadata a matrix of document (article) metadata, where each row represents a document with

• doc.id. a unique article id

• review.id.

• reviewer.id.

• rating. customer rating

• restaurant. restaurant name

• row.word.count. the number of words in the article

• category. the category of the review

cids a vector of document collection ids

class.labels a vector of categories (classes) in the corpus

collection.labels a vector of collections in the corpus

ds.name the corpus name (string)

num.docs the number of documents in the corpus

V the vocabulary size

Note

Created on July 26, 2015

Author(s)

Clint P. George

Source

Articles are downloaded from the link

See Also

Other datasets: news, nips

clintpgeorge/clda documentation built on May 13, 2019, 8 p.m.