Live notes: Adjusting responses from apple watch…

#03/04/2016-10:11:06 GMT+1:

This is a live notes post. It is of very low interest to almost all readers, but I do believe that the more open my work is, the better that work goes.   These are posts mostly written for me, but if you arrived here from a search engine and it looks like I once had a problem that you have now then feel free to drop me a line and I’ll put things into order a little bit.

#03/04/2016-10:11:17 GMT+1:

I’ve got an apple watch and I has a function to quickly rely to text messages.  But it’s suggestions are pretty poor.  So I want to see what options I have to improve them.

#03/04/2016-10:14:01 GMT+1:

Ah-ha! In January I exported my text message history using iExplorer.  I can use that to work out what my most common responses are.

#03/04/2016-10:19:04 GMT+1:

Okay, in the right directory, grep -h Me *.csv  get’s me everything I’ve sent (I should use this for some other analysis later…)

#03/04/2016-10:22:29 GMT+1:

I’m now using grep -h Me *.csv |  cut -d ‘,’ -f3 to extract the column. It causes problems if there are commas in messages, but for this application, that’s fine – if there is a comma n a message it’s unlikely to be one of my most common. (upvote for http://stackoverflow.com/a/19602203/170243)

 

#03/04/2016-10:25:54 GMT+1:

We can ind the most common with:

 

grep -h Me *.csv |  cut -d ‘,’ -f3 | sort | uniq -c | sort -rn | head -n 40

 

(upvote for http://superuser.com/a/383730/15231)

 

This gives these results:

618 “”
319 “Message”
143 “:)”
89 “Hey
65 “:) ”
53 “?”
49 “:(”
44 “Also
40 “*hugs*”
39 “Yes. ”
32 “Yay!”
31 “Yay! ”
30 “Okay
24 “😊”
21 “*hugs* ”
20 “Thank you. ”
20 “:p”
19 “Yep. ”
18 “😊 ”
18 “X”
18 “Sorry
16 “Um
16 “Perfect. ”
15 “”
15 “Poke! ”
15 “Oh
14 “Yes
14 “Whoop! ”
14 “Done. ”
14 “Awesome. ”
13 “Happy birthday! ”
13 “Ha! ”
12 “Okay. ”
12 “How’s you? ”
12 “Hmm. ”
12 “Cool. ”
11 “Yeah
11 “So
MacBook-Air:textmessag

(I’ve taken out one to preserve privacy)

 

#03/04/2016-10:30:18 GMT+1:

When you get rid of the emoji (because the watch includes those), the ones that clearly were the result of the comma spiting and the ones that weren’t replies (like “Happy Birthday”) this is what is left.
53 “?”
40 “*hugs*”
39 “Yes. ”
32 “Yay!”
30 “Okay
21 “*hugs* ”
20 “Thank you. ”
19 “Yep. ”
16 “Perfect. ”
14 “Yes
14 “Whoop!”
14 “Done. ”
14 “Awesome. ”
13 “Ha! ”
12 “Hmm. ”
12 “Cool. ”
11 “Yeah

#03/04/2016-10:35:33 GMT+1:

And they are now in the phone/watch.

Done.

 

 

 

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