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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7.4
使用している単語の変化
■
137
図7-3 2人のアカウントで使われている単語の中で偏りが大きいもの
デビッドは自分が参加したカンファレンス、遺伝子（
gene
）、
Stack Overflow
、行
列（
matrix
）についてツイートしているのに対し、ジュリアはユタ、物理学、国勢調
査データ、クリスマス、家族についてツイートしていることがわかります。
7.4
使用している単語の変化
前節では使った言葉全体を見ていましたが、この節では問題の立て方を変えてみ
ましょう。私たちが
Twitter
で使った単語の中で最も短期間で頻度が変わったもの
はどれでしょうか。つまり、時間の経過とともに使用頻度が高くなったり低くなっ
たりした単語はどれかということです。そのために、ツイートが投稿された時期を
示す新しい時間変数を定義してデータフレームに追加することにします。選んだ単
位時間を引数として
lubridate
の
floor_date()
を呼び出せば、そのような変数を作る
ことができます。
138
■
7
章 ケーススタディ：
Twitter
アーカイブの比較
時間ビンを定義したら、それぞれが時間ビンごとに個々の単語を何回使用してい
るかを数えます。次に、その値を示す列とそれぞれがその単語を合計で何回使った
かを示す列をデータフレームに追加します。そして、 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.