<commit_before>---
layout: post
title: Deepdive

images:

    - url: /images/post_covers/deepdive.png
      alt: dd
      title: dd
---
Deepdive is a [factor graph](http://deepdive.stanford.edu/assets/factor_graph.pdf)

Each deepdive application is broken down into 3 main things
  + `app.ddlog`
  + `db.url`
  + `deepdive.conf`

There are three folders in an app<commit_msg>updated deepdive<commit_after>---
layout: post
title: Deepdive

images:

    - url: /images/post_covers/deepdive.png
      alt: dd
      title: dd
---
Deepdive is a [factor graph](http://deepdive.stanford.edu/assets/factor_graph.pdf). I think one of the coolest uses of Deepdive has been [MEMEX](http://deepdive.stanford.edu/showcase/apps#memex), which tries to identify personal ads that correlate strongly with human trafficking.

Each deepdive application is broken down into 3 main things
  + `app.ddlog`
  + `db.url`
  + `deepdive.conf`

There are three folders in an app
{'fraction_non_alphanumeric': 0.10830704521556257, 'fraction_numerical': 0.002103049421661409, 'mean_word_length': 3.533333333333333, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '5259801', 'n_tokens_mistral': 331, 'n_tokens_neox': 317, 'n_words': 98}