Thursday, December 29, 2016

Using FreeEed in the Memex program for investigations

A common problem in investigations is that the authors of the research software, which is being produced in the course of the Memex problem, are themselves not authorized to see the data that the investigation agencies deal with.

To address this problem, we added hash search to FreeEed. First, we have added the metadata screen display (which was not previously available), and users can see the metadata.

This screenshot presents the view of the metadata table. Metadata, of course, is "data about data." It shows all the fields collected from the documents being searched, together with their "a.k.a" or synonyms. For example, in this screenshot, you can see that field 22 can be called "From, but it can also be called "Author" or "Message-From." You can see now that there is a new field, called "Hash."

Next, the file hash is added to the metadata fields settings. Users have requested this feature prior, and now it is available. For emails, the hash is defined using the popular email fields. In FreeEed, this is configurable through the database.

This hash is shown in the screenshot on the left, which represents the 'load file' output by FreeEed. There it is seen with other popular metadata fields, which were recently added by request, such as Message-ID.

The investigating agency can simply compute the hashes of the objects, such as texts, phones, images, or anything else that they are looking for, and search for these, without revealing what they are searching for, to the authors of the software or the processors. Entities other than investigating agencies may find this feature useful as well.


Now, this shows in the processing results but is it searchable? For that, Hash has been added to the schema in the FreeEedUI search engine (which is SOLR). Now Hash shows up as one of the fields for each document, as the screenshot shows.

The last question, can one search having just the hash value? The answer is yes, you can search on the hash alone. To verify this, pick up one of the hashes that you saw in the documents and try to search for this value. You will find this one document - as is to be expected, since all hashes, MD5 and SHA-1, are designed to be unique per document.  The last screenshot illustrates this.

Additionally, FreeEed can provide the results sorted by user-defined "document significance," using the user-provided functions. Such functions are supplied by the Memex groups.


Sunday, December 25, 2016

Word clouds in FreeEed

Word clouds have been added to FreeEed as an early release. To try, download the jar from here, https://s3.amazonaws.com/shmsoft/releases/freeeed-processing-1.0-SNAPSHOT-jar-with-dependencies.jar and replace the jar by the same name in your install. Then run freeeed_player.sh (.bat) as usual.

Here is an example of a word cloud and a screenshot of the Analytics menu, which features word clouds.

The word cloud is from project included with FreeEed, which is just a collection of unconnected documents, so the cloud is not very meaningful. You should get something related to your use cases and more useful.

Your feedback will be very much appreciated.

Monday, December 12, 2016

Hadoop going to China

Actually, Hadoop is already in China. Here is the largest Hadoop distribution company in China, called Transwarp. Three hundred customers and counting, one hundred engineers, and growing, and five training centers across China.

Nevertheless, there is still "way to go" in this direction, as our cartoon aptly shows.

Thursday, December 1, 2016

Kent Graziano presents Snowflake at Houston Hadoop & Spark Meetup

Another great presentation at the Meetup, by Kent Graziano. Read all about the presenter, the subject, and the feedback here: https://www.meetup.com/Houston-Hadoop-Meetup-Group/events/235608911/

And here are the slides: http://www.slideshare.net/elephantscale/changing-the-game-with-cloud-dw

See you next time!

Tuesday, November 8, 2016

FreeEed eDiscovery, AI, Machine Learning, and Social Media

In the V7.0.0 release of FreeEed, we are highlighting text analytics and social media. 


You might also find interesting the articles that Mark Kerzner, the author of FreeEed, wrote recently on Bloomberg Law.

The source code

Our open source code collection is growing, and we have combined it all in one place: the SHMsoft company page on GitHub.

With gratitude and acknowledgment: this work is funded in part by the DARPA/Memex program, here is a Forbes article about our team.

Next: FreeEed as a service in the Amazon AWS cloud.

Cheers, 

FreeEed - eDiscovery easy as popcorn.   

Friday, November 4, 2016

Using FreeEed for social media discovery

One of the areas that the Memex/DARPA teams excel in is crawling. FreeEed and the people behind it are part of the Memex, so it was quite natural to integrate discovery of crawl results into FreeEed processing and review.

Here is a recent Forbes article about the team.

Searching the websites and social media has been added to FreeEed starting from version 7. The common format to store crawl results is JSON. Each JSON description corresponds to a website page, user post, or a similar item.

Each JSON search entry is represented by a one-line in the archive file. The archive is given the extension *.jl, which stands for "JSON line".

FreeEed understands the *.jl extension, parses the JSON content of every line in the *.jl file, and finds indexes such fields as text, authors, etc., and makes them searchable in the FreeEed Review tool.

Below is a screenshot of FreeEeedUI review, illustrating searches in  a collection from an escort services website.

















How to create your crawler? You can use the crawler from Scraping Hub, also a member of the Memex team. Or you can use the trusted friend, Apache Nutch. Nutch has been around for more than ten years, and it is the beginning of Hadoop.

By the way, we provide training in all these technologies.

Adding text analytics to FreeEed

Many documents in eDiscovery can be understood on a much deeper level than keyword search. Since groups of documents often have a similar structure, one can configure the software to extract additional fields from such documents.

Case study

We have collected all appeal documents from the NY Court of Appeals. For that, we crawled the court website and collected approximately 100,000 documents.

We have then configured the GATE (General Architecture for Text Engineering) tool to extract the information of interest from every document.

Here is the screenshot of GATE screen configured to extract information. It takes a few minutes to extract this information from 100,000 appeal cases, and the output is a CSV file which can be opened as a spreadsheet.

The verify the quality of the information extraction, we watch the statistics. Below is an example of the statistics from one of the latest runs. It shows the percentages of the information being reflected in the case document and successfully extracted by the software.

Files in dir: 111018
Docs processed : 100.0%
Case number: 100.0%
Metadata extracted: 100.0%
Civil: 71.0%
Criminal: 29.0%
Court: 94.7%
Gap days: 92.7%
First date: 92.8%
Appeal date: 100.0%
Judge: 85.8%
Other judges present: 98.4%
District attorney: 61.3%
Assistant district attorney: 100.0%
Crimes: 37.7%
County: 91.7%
Mode of conviction: 53.9%
Keywords: 93.3%
Interest of justice: 4.9%
References to cases: 19.9%
Number of output files: 12
Runtime: 2086 seconds

Our verification assured us that the rate of successful extraction (when the information is actually present) is high.

Below is an example screenshot of the information obtained. The output for all documents (25 MB) can be downloaded from here.









Adding this information to eDiscovery

There are two ways how you can add this information to FreeEed.

  1. The metadata fields can be added to the documents, and FreeEed configured to add them to the review; or
  2. The GATE workflow can be compiled and run directly within FreeEed.

Conclusions

The configuration of the GATE tool is an acquired skill, but even out-of-the-box extractors provide useful information. This work was done as part of Memex DARPA project, and the researchers found the extracted information extremely useful.

By the way, we provide training in all these technologies.