I'm happy to share with you the result of this project, it certainly has been a lot of fun!
First of all it was shocking how many messages we had over such a long time (more than 300k!)... and it was very interesting to see the patterns occurring.
Next, I trained a bot for several nights (+ experimentation) that in the end does pretty well.
From the video, you can see that it doesn't take the current time into account, which actually turned out to be its biggest flaw, lol (no spoilers)!
Anyway, writing the "facebook driver" with selenium was fun too.
What turned out to be an interesting part of the model is that it had to split up a message into more messages (there's a difference between a newline and a new bubble), which I represented as a special character in my data.
The other way too - I had to make sure it did not reply to every message individually, but instead, I had it wait some time. It was considering messages starting with a capital letter as "mobile" (and allow a longer wait than non-mobile).
I'm happy to share with you the result of this project, it certainly has been a lot of fun!
First of all it was shocking how many messages we had over such a long time (more than 300k!)... and it was very interesting to see the patterns occurring. Next, I trained a bot for several nights (+ experimentation) that in the end does pretty well. From the video, you can see that it doesn't take the current time into account, which actually turned out to be its biggest flaw, lol (no spoilers)!
Anyway, writing the "facebook driver" with selenium was fun too. What turned out to be an interesting part of the model is that it had to split up a message into more messages (there's a difference between a newline and a new bubble), which I represented as a special character in my data. The other way too - I had to make sure it did not reply to every message individually, but instead, I had it wait some time. It was considering messages starting with a capital letter as "mobile" (and allow a longer wait than non-mobile).
Anyway, I hope you enjoy!
If you like it, please follow me on https://github.com/kootenpv or my blog https://vks.ai