[med-svn] [r-cran-lexrankr] 01/04: New upstream version 0.4.1
Andreas Tille
tille at debian.org
Tue Oct 10 16:59:22 UTC 2017
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tille pushed a commit to branch master
in repository r-cran-lexrankr.
commit e768628310b66ae00b105781d73199a51db40999
Author: Andreas Tille <tille at debian.org>
Date: Tue Oct 10 18:53:53 2017 +0200
New upstream version 0.4.1
---
DESCRIPTION | 9 +++++----
MD5 | 24 ++++++++++++------------
NEWS.md | 5 +++++
README.md | 23 ++++++++++++++---------
man/bind_lexrank_.Rd | 3 +--
man/lexRank.Rd | 1 -
man/lexRankFromSimil.Rd | 1 -
man/sentenceParse.Rd | 1 -
man/sentenceSimil.Rd | 1 -
man/sentenceTokenParse.Rd | 1 -
man/sentence_parser.Rd | 1 -
man/tokenize.Rd | 1 -
man/unnest_sentences_.Rd | 3 +--
13 files changed, 38 insertions(+), 36 deletions(-)
diff --git a/DESCRIPTION b/DESCRIPTION
index 467c271..9adc086 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,19 +1,20 @@
Package: lexRankr
Type: Package
Title: Extractive Summarization of Text with the LexRank Algorithm
-Version: 0.4.0
+Version: 0.4.1
Author: Adam Spannbauer <spannbaueradam at gmail.com>
Maintainer: Adam Spannbauer <spannbaueradam at gmail.com>
Description: An R implementation of the LexRank algorithm described by G. Erkan and D. R. Radev (2004) <DOI:10.1613/jair.1523>.
License: MIT + file LICENSE
URL: https://github.com/AdamSpannbauer/lexRankr/
+BugReports: https://github.com/AdamSpannbauer/lexRankr/issues/
LazyData: TRUE
-RoxygenNote: 5.0.1
+RoxygenNote: 6.0.1
Imports: dplyr, tidyr, magrittr, stringr, SnowballC, igraph, tm, Rcpp
LinkingTo: Rcpp
Suggests: covr, testthat, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: yes
-Packaged: 2017-03-02 14:27:17 UTC; u775749
+Packaged: 2017-05-10 14:10:05 UTC; u775749
Repository: CRAN
-Date/Publication: 2017-03-02 16:21:22
+Date/Publication: 2017-05-10 15:36:25 UTC
diff --git a/MD5 b/MD5
index ec84816..f29e550 100644
--- a/MD5
+++ b/MD5
@@ -1,7 +1,7 @@
-b09fa890f724307b7a666da0ae18b966 *DESCRIPTION
+2454998442ab55fe79526eb15741a41a *DESCRIPTION
b458a8dd25dc372c4aeefb1b28542c7c *LICENSE
3dfbe6abf64ff40c99c68b366de7ecac *NAMESPACE
-7ddd5f4b328baf74b02ff7fbf3360715 *NEWS.md
+d888f82c4f1d750e4e27165858cbb381 *NEWS.md
8e9822c41154fdc3672feb037b3de49a *R/RcppExports.R
39017020f0c1b46e32112b5a6ef3bf5a *R/bind_lexrank.R
b5b5b38a51a0744b75921752089613ca *R/lexRank.R
@@ -12,19 +12,19 @@ a32b76ade6f7d0c12ef34bb16fb357e9 *R/lexRankFromSimil.R
c6d46d77b1da31caeff8e47bc8ec7a1d *R/sentence_parser.R
73ae0bc326c31900e2dde09b20af5aba *R/tokenize.R
06a7631f18bac7fbf85675ad22d5abba *R/unnest_sentences.R
-af5d573f1dc77a5aab14b8cd6e8747aa *README.md
+d3e7a052f4c052312ebfc1e2b5e88a29 *README.md
e7c8e205a5d20da21a8a2656f9ef1d32 *build/vignette.rds
85e967ef3b2094b02fd3fac0d0b1968a *inst/doc/Analyzing_Twitter_with_LexRankr.html
66e47bc11bb84e17ca6e0e3c79e18d73 *inst/doc/Analyzing_Twitter_with_LexRankr.html.asis
-861cae03e1e1404451d636908c50fd4a *man/bind_lexrank_.Rd
-61567a82d7fb41bf03d0c46ac87da8d0 *man/lexRank.Rd
-3409c9b9026182386a6123fc90aa39e8 *man/lexRankFromSimil.Rd
-59d7a80fbb8dd83bdcd3b6e159db33f6 *man/sentenceParse.Rd
-55d9073db96b6c6ecca25de323b40989 *man/sentenceSimil.Rd
-9bbcd1ae27f2c5d8c1fcb6f0c8a72cfb *man/sentenceTokenParse.Rd
-60c25a4a9d91c9c605bb6a1daaa13e3e *man/sentence_parser.Rd
-2b28bf4eb65e4369816f5c42d86b9a73 *man/tokenize.Rd
-52c68d97fe2308c39781617d0c1264e5 *man/unnest_sentences_.Rd
+8fdb873dd5896b1d9bf6016fd2504a5f *man/bind_lexrank_.Rd
+0f633a43097c603d02b80a95c6e27f44 *man/lexRank.Rd
+cafbd2a9fa4d54f3cf6603432f444f57 *man/lexRankFromSimil.Rd
+8aee97710a967418e34660104ff2c55c *man/sentenceParse.Rd
+560f4be2da884d36bc59b7e9961181d5 *man/sentenceSimil.Rd
+1ff7f11978e75e861f3a359b1c43ec6e *man/sentenceTokenParse.Rd
+c1e25a7c9e53c9c8a667ae6ab5dd91a8 *man/sentence_parser.Rd
+1aca404c4f9d35915ad159a76083bc82 *man/tokenize.Rd
+6b63e5d8d24039c5e46566f38db4d388 *man/unnest_sentences_.Rd
a4ba729353921f27dd1033666ba3d5a7 *src/RcppExports.cpp
2cd12945f1ba427de73a8b690ffd4615 *src/idfCosineSimil.cpp
b911f4ffbf1ed05047d75ba046bb4b54 *src/register_routines.c
diff --git a/NEWS.md b/NEWS.md
index 30fac17..ac2397c 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,8 @@
+# lexRankr 0.4.1
+
+* added bug report url: (https://github.com/AdamSpannbauer/lexRankr/issues/)
+* formatting updates to README.md
+
# lexRankr 0.4.0
* added functions `unnest_sentences` and `unnest_sentences_` to parse sentences in a dataframe following tidy data principles
diff --git a/README.md b/README.md
index 7538b50..e2fbe3c 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,8 @@
# lexRankr: Extractive Text Summariztion in R
-[](https://travis-ci.org/AdamSpannbauer/lexRankr) [](https://ci.appveyor.com/project/AdamSpannbauer/lexRankr) [](https://CRAN.R-project.org/package=lexRankr) [](https://travis-ci.org/AdamSpannbauer/lexRankr) [](https://ci.appveyor.com/project/AdamSpannbauer/lexRankr) [](https://codecov.io/github/AdamSpannbauer/lexRankr?branch=master) [![CRAN\_Status\ [...]
-##Installation
+## Installation
##install from CRAN
install.packages("lexRankr")
@@ -12,15 +12,15 @@
-##Overview
+## Overview
lexRankr is an R implementation of the LexRank algorithm discussed by Güneş Erkan & Dragomir R. Radev in [LexRank: Graph-based Lexical Centrality as Salience in Text Summarization](http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume22/erkan04a-html/erkan04a.html). LexRank is designed to summarize a cluster of documents by proposing which sentences subsume the most information in that particular set of documents. The algorithm may not perform well on a set of unclustered/unrelated set [...]
*note: the lexrank algorithm is designed to work on a cluster of documents. LexRank is built on the idea that a cluster of docs will focus on similar topics*
*note: pairwise sentence similiarity is calculated for the entire set of documents passed to the function. This can be a computationally instensive process (esp with a large set of documents)*
-##Basic Usage
-####lexRank in a tidy framework
+## Basic Usage
+#### lexRank in a tidy framework
```
library(lexRankr)
library(dplyr)
@@ -35,7 +35,7 @@ lexRankr is an R implementation of the LexRank algorithm discussed by Güneş Er
bind_lexrank(sents, doc_id, level = 'sentences') %>%
arrange(desc(lexrank))
```
-####lexRank applied to a charcter vector of documents
+#### lexRank applied to a charcter vector of documents
```
library(lexRankr)
@@ -46,8 +46,13 @@ lexRankr is an R implementation of the LexRank algorithm discussed by Güneş Er
lexRank(text)
```
-##Example with Twitter (using lexRank helper functions)
- ```
+## Examples with Twitter
+
+### Using lexRankr in tidy frame work
+[See Vignette](https://CRAN.R-project.org/package=lexRankr/vignettes/Analyzing_Twitter_with_LexRankr.html)
+
+### Using lexRankr's helper functions
+
library(jsonlite)
library(httr)
@@ -148,7 +153,7 @@ lexRankr is an R implementation of the LexRank algorithm discussed by Güneş Er
###################
tweetTextHill <- getUserTweets(user="HillaryClinton", n=5000, consKey, consSecret, token, tokenSecret)
topTweetsHill <- tweetRankr(tweetTextHill)
- ```
+
1) "Hillary Clinton must become the next president of the United States. @BernieSanders #DemsInPhilly
diff --git a/man/bind_lexrank_.Rd b/man/bind_lexrank_.Rd
index 16477c3..a2d92d6 100644
--- a/man/bind_lexrank_.Rd
+++ b/man/bind_lexrank_.Rd
@@ -1,8 +1,8 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bind_lexrank.R
\name{bind_lexrank_}
-\alias{bind_lexrank}
\alias{bind_lexrank_}
+\alias{bind_lexrank}
\title{Bind lexrank scores to a dataframe of text}
\usage{
bind_lexrank_(tbl, text, doc_id, sent_id = NULL, level = c("sentences",
@@ -70,4 +70,3 @@ df <- data.frame(doc_id = c(1, 1, 1, 1, 1, 1, 1, 2, 2, 2,
df \%>\%
bind_lexrank(tokens, doc_id, sent_id, level = 'tokens')
}
-
diff --git a/man/lexRank.Rd b/man/lexRank.Rd
index e4b06e5..6aba113 100644
--- a/man/lexRank.Rd
+++ b/man/lexRank.Rd
@@ -55,4 +55,3 @@ lexRank(c("This is a test.","Tests are fun.",
\references{
\url{http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume22/erkan04a-html/erkan04a.html}
}
-
diff --git a/man/lexRankFromSimil.Rd b/man/lexRankFromSimil.Rd
index 1fc5ced..1259744 100644
--- a/man/lexRankFromSimil.Rd
+++ b/man/lexRankFromSimil.Rd
@@ -38,4 +38,3 @@ lexRankFromSimil(s1=c("d1_1","d1_1","d1_2"), s2=c("d1_2","d2_1","d2_1"), simil=c
\references{
\url{http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume22/erkan04a-html/erkan04a.html}
}
-
diff --git a/man/sentenceParse.Rd b/man/sentenceParse.Rd
index f276c68..f2b2b1c 100644
--- a/man/sentenceParse.Rd
+++ b/man/sentenceParse.Rd
@@ -22,4 +22,3 @@ sentenceParse("Bill is trying to earn a Ph.D.", "You have to have a 5.0 GPA.")
sentenceParse(c("Bill is trying to earn a Ph.D.", "You have to have a 5.0 GPA."),
docId=c("d1","d2"))
}
-
diff --git a/man/sentenceSimil.Rd b/man/sentenceSimil.Rd
index a10e77c..5ca4855 100644
--- a/man/sentenceSimil.Rd
+++ b/man/sentenceSimil.Rd
@@ -29,4 +29,3 @@ sentenceSimil(docId=c("d1","d1","d2","d2"),
\references{
\url{http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume22/erkan04a-html/erkan04a.html}
}
-
diff --git a/man/sentenceTokenParse.Rd b/man/sentenceTokenParse.Rd
index 4f091b8..5c4c70b 100644
--- a/man/sentenceTokenParse.Rd
+++ b/man/sentenceTokenParse.Rd
@@ -33,4 +33,3 @@ Parse a character vector of documents into into both sentences and a clean vecto
sentenceTokenParse(c("Bill is trying to earn a Ph.D.", "You have to have a 5.0 GPA."),
docId=c("d1","d2"))
}
-
diff --git a/man/sentence_parser.Rd b/man/sentence_parser.Rd
index 2bba98f..8309a0d 100644
--- a/man/sentence_parser.Rd
+++ b/man/sentence_parser.Rd
@@ -15,4 +15,3 @@ A list with length equal to `length(text)`; list elements are character vectors
\description{
Utility to parse sentences from text; created to have a central shared sentence parsing function
}
-
diff --git a/man/tokenize.Rd b/man/tokenize.Rd
index 5ece152..cec43d7 100644
--- a/man/tokenize.Rd
+++ b/man/tokenize.Rd
@@ -29,4 +29,3 @@ Parse the elements of a character vector into a list of cleaned tokens.
tokenize("Mr. Feeny said the test would be on Sat. At least I'm 99.9\% sure that's what he said.")
tokenize("Bill is trying to earn a Ph.D. in his field.", rmStopWords=FALSE)
}
-
diff --git a/man/unnest_sentences_.Rd b/man/unnest_sentences_.Rd
index b04180f..5257f51 100644
--- a/man/unnest_sentences_.Rd
+++ b/man/unnest_sentences_.Rd
@@ -1,8 +1,8 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/unnest_sentences.R
\name{unnest_sentences_}
-\alias{unnest_sentences}
\alias{unnest_sentences_}
+\alias{unnest_sentences}
\title{Split a column of text into sentences}
\usage{
unnest_sentences_(tbl, output, input, output_id = "sent_id", drop = TRUE)
@@ -40,4 +40,3 @@ unnest_sentences_(df, "sents", "text")
df \%>\%
unnest_sentences(sents, text)
}
-
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