The magnitudes in message intent all seem relatively close. How can these values best be understood? If we collected information from a couple hundred popular sites, what would we expect average values to be? Standard deviation? If 50% in the people in the room are brunette I’m not surprised, if 50% have a 6th digit on their hand I’m assuming its a small room. If you’re giving 50% love in your text, I don’t know if you are in a bad mood, love me, or love love me. Anything you can provide to help internalize the values further would be helpful.
Joseph Responds: Thanks for bringing this up. The charts currently show “normalized” information and I’m not a strong believer in normalizing this kind of material because doing so (I believe) removes other valuable information. For example, normalizing results to a scale of 0-100 doesn’t include very important information that (for example) the Love factor was 2097 and the Troll was 10, very different than 99% and 0%, especially if something else being analyzed returns with results of 115 and 0 (which might also be normalized to 99% and 0%). The former author is perforce non-consciously demonstrating a lot more “Love” than the latter author even though all other “obvious” variables (post length, topic, platform, audience size, …) are equal.
So thank you for providing me with an external argument for non-normalization of this chart, at least.

And do let me know if there’s something else I can do for you.
Please continue reading and commenting, too. – Joseph

Thanks,
Todd

There’s certainly ample volume to analyze, isn’t there.

What’s good for the goose is good for the gander.