Sermon Tone Analysis
Overall tone of the sermon
This automated analysis scores the text on the likely presence of emotional, language, and social tones. There are no right or wrong scores; this is just an indication of tones readers or listeners may pick up from the text.
A score of 0.5 or higher indicates the tone is likely present.
Emotion Tone
Anger
0.14UNLIKELY
Disgust
0.07UNLIKELY
Fear
0.17UNLIKELY
Joy
0.45UNLIKELY
Sadness
0.62LIKELY
Language Tone
Analytical
0.44UNLIKELY
Confident
0UNLIKELY
Tentative
0.91LIKELY
Social Tone
Openness
0.36UNLIKELY
Conscientiousness
0.14UNLIKELY
Extraversion
0.15UNLIKELY
Agreeableness
0.13UNLIKELY
Emotional Range
0.35UNLIKELY
Tone of specific sentences
Tones
Emotion
Language
Social Tendencies
Anger
< .5
.5 - .6
.6 - .7
.7 - .8
.8 - .9
> .9
I’m typing along
Hoping that this doesn’t somehow cause my computer to start using significant energy; since, you know, rendering text is hard work.
But, it looks like things are going along smoothly.
Activity monitor went from thinking I had 3 hours of battery on a full charge to 8, so, that’s cool.
Not really sure where those estimates come from, but something isn’t right.
I’m almost up to 9 hours on a 91% charge.
That’s incredible, and likely inaccurate.
How about another heading
Hmm, must not have outline view code yet.
Oh no! something happened and now Logos is using significant energy :( I wonder if it was the fullscreen mode.
Still on the integrated card, down to 8:15 on a 90% charge.
If only I had a few hours to kill and see this through.
Probably time to open up the profiler.
Ok
So, when I start typing, our energy impact fluctuates between High and Low.
There is also nothing in between those too values and the meter is on the very bottom of High, so it’s probably fine.
Our idle CPU wakes are at about 60-70.
Typing, the jump to about 200, which is likely the cause of high energy consumption.
Typing in FA only jumps to ~80 wakes, so Sermon is more expensive to type in.
Lots of stuff to do.
A FA web request jumps to about 150 and this is consistent with speech-to-text listening.
< .5
.5 - .6
.6 - .7
.7 - .8
.8 - .9
> .9