This package was removed from CRAN on 2020-01-28. Its history is shown below.

Reason: depends on archived package 'Matrix.utils'

Details below reflect version 0.1.0, its last release before removal.

RtextSummary

0.1.0

Summarizes Text by Extracting Relevant Sentences

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Suryavanshi Abhijit1 releasesCRAN page ↗

Build a text summary by extracting relevant sentences from your text. The training dataset should consist of several documents, each document should have sentences separated by a period. While fitting the model, the 'term frequency - inverse document frequency' (TF-IDF) matrix that reflects how important a word is to a document is calculated first. Then vector representations for words are obtained from the 'global vectors for word representation' algorithm (GloVe). While applying the model on new data, the GloVe word vectors for each word are weighted by their TF-IDF weights and averaged to give a sentence vector or a document vector. The magnitude of this sentence vector gives the importance of that sentence within the document. Another way to obtain the importance of the sentence is to calculate cosine similarity between the sentence vector and the document vector. The output can either be at the sentence level (sentences and weights are returned) or at a document level (the summary for each document is returned). It is useful to first get a sentence level output and get quantiles of the sentence weights to determine a cutoff threshold for the weights. This threshold can then be used in the document level output. This method is a variation of the TF-IDF extractive summarization method mentioned in a review paper by Gupta (2010) doi:10.4304/jetwi.2.3.258-268.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/RtextSummary/RtextSummary_0.1.0.tar.gz"
pkgFile <- "RtextSummary_0.1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: 0%
References docs: 33%

Downloads

RtextSummary Releases R versions

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Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (8)

R6 mlapi stringr tidyr tokenizers text2vec Matrix.utils dplyr

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Code Composition

R 384 (71%)Rd 158 (29%)

Code characteristics

Object systems

R61

Cyclomatic complexity: 1.0 median / 1 max

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

1 0 exported

Complexity

1 avg / 1 max

Call network

1 nodes / 0 edges

Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 2

Name	Class	Rows × Cols	Also ships in
opinosis	data.frame	51 × 7	–
stopwords_longlist	vector	–	–

People & History

People (1)

Maintainer (1)

Suryavanshi Abhijit

Author, Maintainer

Authors (1)

Suryavanshi Abhijit

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2020-01-28
depends on archived package 'Matrix.utils'
0.1.0
2019-06-07
R
R 3.6.0 released · 2019-04-26

Package metadata

Total releases: 1
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 187 KB / 2 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

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