I am going to try a new way to summarize information.
I just read an article very interesting about (once again) surveillance society and advertising. But this time is about billboards.
Few months ago I realized a project for the module “internet technologies” and this project is a website called “content analyzer“. It is a basic/easy/simple way to analyze text. Mainly it retrieves the statistics of a document (e.g. how may words in the document, frequency of each single word, sorting by Alpha or Frequency). You can try it by yourself clicking on the link above.
Here the analysis of the original article (that you can find on nytimes.com)
Unique words:595
Total words:1443Freq. Word
12 CAMERAS
10 BILLBOARDS
9 PEOPLE
8 ADVERTISING
8 DIGITAL
8 BILLBOARD
8 QUIVIDI
7 CAMERA
6 COMPANIES
5 TECHNOLOGY————————————–
21 IS
18 IT
18 THEY
15 ARE
13 SAID
8 BE
7 SAY
7 I
7 HAS
7 YOU
6 WE
6 HE
6 COULD
I decided to take the first 10 nouns and all the verbs and subjects from the top list down to the last noun i chose (in this case “technology”).
You can choose as many words as you like, but to keep it as a summarization, i decided to stop at the first 10 nouns.
This analysis is really a basic one, and it can be modified/improved in many different ways.
Below is the complete statistical result:
