movie_review

The labeled dataset consists of 5000 IMDB movie reviews, specially selected
for sentiment analysis. The sentiment of the reviews is binary, meaning an
IMDB rating &lt; 5 results in a sentiment score of 0, and a rating &gt;=7 has a
sentiment score of 1. No individual movie has more than 30 reviews. Important
note: we removed non ASCII symbols from the original dataset to satisfy CRAN
policy.

datasets

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

Modern Text Mining Framework for R

Manuel Bickel

Qing Wang

movie_review function

A data frame with 5000 rows and 3 variables:<dl>
 <dt>id</dt>
<dd>Unique ID of each review</dd>
 <dt>sentiment</dt>
<dd>Sentiment of the
 review; 1 for positive reviews and 0 for negative reviews</dd> <dt>review</dt>
<dd>Text of the review (UTF-8)</dd></dl>

Format

IMDB movie reviews — movie_review

A data frame with 5000 rows and 3 variables:<dl>
 <dt>id</dt>
<dd>Unique ID of each review</dd>
 <dt>sentiment</dt>
<dd>Sentiment of the
 review; 1 for positive reviews and 0 for negative reviews</dd>

 <dt>review</dt>
<dd>Text of the review (UTF-8)</dd>

</dl>

movie_review: IMDB movie reviews

Description

Usage

Arguments

Format