Skip to content

atandy/text_message_analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

text_message_analysis

Analyze your IOs messages from your device with Pandas/NLTK.

I wrote this over a couple caffeinated hours. There are no classes -- it's just straight procedural coding. There are a few issues, but I haven't fixed them. One issue, for example is the timestamp conversion method I currently use yields dates into 2016... it's currently 2015. Let's go back to the future!!

Additionally, if you read through the code, you can see that when I tokenize all of the messages, I actually tokenize them when they are in a massive message string. I chose to concatenate every single text message into a "corpus." You don't have to do it this way. Instead, you can iterate through all of the messages and tokenzie each one individually.

If you like this code, or want to fix things, feel free.

And you can read more about this project on my blog here: http://sweet-as-tandy.com/2015/06/26/how-to-retrieve-and-analyze-your-ios-messages-with-python-pandas-and-nltk/

About

Analyze your IOs messages from your device with Pandas/NLTK.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages