WordCloud API

API to generate word/tag clouds.

Why? It's 2019, tag clouds died with page hit counters...

Great question! Because I've always liked them. Yes, they've been done really wrong. But I feel they can still give a good sense of weight to a body of text or terms. By giving a visable difference of weighted words, you can, at a quick glance, understand the what a blob of information is trying to portray.

Okay, point made, kinda...

You're right! Let's demonstrate an example. Let's use a book, "Little Big Man" by Thomas Berger. I googled obscure books, and this one popped up. I've never read it, but put the summery found HERE, through this API.

Now, from this word cloud alone, we can gather that:

It's about a white guy and indians
Somewhere in or close to Kansas, Denver, or Cheyenne
Most likely dramatic. kill, soldier, depressed, ambushed

Not exactly my genre or type of book, but I can gather that by glancing over this image instead of reading a synopsis of the literature. This can go beyond books. Scrape a website and get a general sense of what it's about. Need to present a speach or lecture? Run your notes through the API and find what you might be talking too much on, or see the subjects that are neglected.

But mostly I just wanted to get into API dev, and this is great for learning. Handling images, multiple variable end points, and of course Python =)

End Points

GET /colors/<string: search_color>
- optional <string: search_color>
POST /cloud
- BODY {"terms": "A big string of text to make cloud", "color": "Greens"}

Examples

TO-DO