May 2018
Intermediate to advanced
228 pages
4h 11m
Japanese
Content preview from Rによるテキストマイニング ―tidytextを活用したデータ分析と可視化の基礎
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1
1
章
整理テキスト形式
整理データ原則（
tidy text principal
）は、データの効果的で簡単な処理のために威
力を発揮し、それはテキストを扱うときにも同様です。
Hadley Wickham
（
Wickham
2014
）が書いているように、整理データは決められた構造を持っています。
●
個々の変数を
1
つの列にします。
●
個々の観測を
1
つの行にします。
●
個々のタイプの観測の単位が表です。
これを基に、整理テキスト形式とは、1 行に 1 つのトークンからなる表と定義し
ます。トークンとは、テキストの単位として意味のあるもの（たとえば単語）のこと
で、分析のときに注目する対象です。トークン化とは、テキストをトークンに分割
する処理です。
1
行
1
トークンという構造は、現在の分析でよく使われている文字
列や
DTM
（
document-term-matrix
：文書
-
単語行列）といった格納形式とは対照的で
す。
整理テキストマイニングでは、各行に格納されるトークンは
1
つの単語になる
のが普通ですが、
n
グラムやセンテンス（
sentence
）、段落（
paragraph
）になること
もあります。
tidytext
パッケージには、これらのよく使われる単位でテキストをトー
クン化関数や、
1
行
1
トークンの形式に変換する関数が含まれています。
整 理 デ ー タ セ ッ ト は、
dplyr
（
Wickham and Francois 2016
）、
tidyr
（
Wickham
2016
）、
ggplot2
（
Wickham ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.