Apostrophes, Hyphenated Words, and Slang - AI Deciphering Software for Human-Computer Interfaces

Over the last few months, I've been busy converting my online articles into eBook formats by subject and topic, putting together collections of essays, articles, thoughts, and observations for the latest Kindle craze and believe me - it's huge. Amazon has been selling millions of these Kindles on almost a daily basis. In fact, every day I see more and more people with Kindle eReaders at Starbucks and around town, reading away - that's good to see. Not just because I am an author of eBooks, but because I think reading is good for America!

Now then, in editing all of these articles I've written into eBooks, I've found something extremely interesting so let me explain. First, due to my old articles being in an old Microsoft Word format all the apostrophes, and quotation marks are incompatible, so they have to be changed. Yes, that's a big deal when an eBook might contain 50-100 articles and could run as much as 50,000 plus words. It takes forever. But, I've learned something that I bet not a lot of people know. You see, I've been able to tell by:

The number of apostrophes used
The number of hyphenated words
The number of slang-words used

The type of writing, tone, energy level, enthusiasm, fervor, passion, and conversational displacement of the articles, mostly because I know my writing better now after this exercise which is only about one-twentieth completed, and I remember my thinking at the time of the writing. Based on the number of apostrophes I can tell if I am having a conversation with my reader in a chit-chat type tone, or if I am giving information matter-of-factly.

There are also give-aways due to the slang used as Microsoft Word underlines the slang often as "misspelled" with a squiggly line under it. Okay so, now you are saying; So What? Well, yes, I am not extremely surprised at all this. But I've noted that if there is one apostrophe used in a word, there is generally another within that same sentence or the next. And articles with lots of apostrophes are "very conversational" and written with a "friendly tone" in mind.

We can use this information to develop software that can pick up such tone, helping AI computer systems, using strict algorithms, decipher the mind of the writer at the time of writing the paragraph or article. This could come in handy for all sorts of things. In fact, we'd be foolish not to use this information to develop smarter computer/human interfaces and AI systems to serve us. Please consider all this.