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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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ZENODO
Software . 2016
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2015
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2016
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2015
Data sources: ZENODO
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jiebaR: CRAN version 0.5

Authors: Qin Wenfeng; Check your git settings!; Yanyi Wu;

jiebaR: CRAN version 0.5

Abstract

Changes in Version 0.5 (2015-04-29) Fix: edit_dict() on Mac New function: filter_segment() to filter segmentation result New function: vector_keywords() to extract keywords from a string Enhancement: Segmentation support: Vector input => List output Enhancement: Segmentation support: Input by lines => Output by lines Enhancement: Add option write = "NOFILE" Enhancement: New rules for "English word + Numbers" Update documentation 一、 增加过滤分词结果的方法 filter_segment(),类似于关键词提取中使用的停止词功能。 cutter = worker() result_segment = cutter["我是测试文本,用于测试过滤分词效果。"] result_segment [1] "我" "是" "测试" "文本" "用于" "测试" "过滤" "分词" "效果" filter_words = c("我","你","它","大家") filter_segment(result_segment,filter_words) [1] "是" "测试" "文本" "用于" "测试" "过滤" "分词" "效果" 二、 分词支持 “向量文本输入 => list输出” 与 “按行输入文件 => list输出” 通过 bylines 选项控制是否按行输出,默认值为bylines = FALSE。 cutter = worker(bylines = TRUE) cutter Worker Type: Mix Segment Detect Encoding : TRUE Default Encoding: UTF-8 Keep Symbols : FALSE Output Path : Write File : TRUE By Lines : TRUE Max Read Lines : 1e+05 .... cutter[c("这是非常的好","大家好才是真的好")] [[1]] [1] "这是" "非常" "的" "好" [[2]] [1] "大家" "好" "才" "是" "真的" "好" cutter$write = FALSE # 输入文件文本是: # 这是一个分行测试文本 # 用于测试分行的输出结果 cutter["files.path"] [[1]] [1] "这是" "一个" "分行" "测试" "文本" [[2]] [1] "用于" "测试" "分行" "的" "输出" "结果" # 按行写入文件 cutter$write = TRUE cutter$bylines = TRUE 三、可以使用 vector_keywords 对一个文本向量提取关键词。 keyworker = worker("keywords") cutter = worker() vector_keywords(cutter["这是一个比较长的测试文本。"],keyworker) 8.94485 7.14724 4.77176 4.29163 2.81755 "文本" "测试" "比较" "这是" "一个" vector_keywords(c("今天","天气","真的","十分","不错","的","感觉"),keyworker) 6.45994 6.18823 5.64148 5.63374 4.99212 "天气" "不错" "感觉" "真的" "今天" 四、增加 write = "NOFILE" 选项,不检查文件路径。 cutter = worker(write = "NOFILE",symbol = TRUE) cutter["./test.txt"] # 目录下有test.txt 文件 [1] "." "/" "test" "." "txt"

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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