Subscribe to DSC Newsletter

All Blog Posts Tagged 'berlin' (9)

Social Metrics from Parallel Narrative Objects

At times it might be desirable to determine what storylines on a narrative database contain certain key elements.  In the example below, the object “Alien Allan” is used to compile a listing of titles on the database that are in thematic agreement.  But rather than simply provide the listing of titles, the algorithm tabulates the key elements contained in these titles.  Notice that the most important elements resulting from the search do not necessarily match the elements in the submitted…

Continue

Added by Don Philip Faithful on November 11, 2017 at 5:30am — No Comments

Object Constructs More Accurate than Language or Numbers

In my last blog, I explained my “Animal Spirit Model,” which I used to consider Paddock the Vegas shooter and the fictitious character Jack Torrance (played by Jack Nicholson) in the 1980 horror movie “The Shining.”  In this blog, I will be considering the character of Mrs. Torrance - Jack’s wife (played by Shelley Duvall).  Below I present the computer generated description for Mrs. Torrance followed by her animal spirit on Excel.  The descriptor program responds to the settings on the…

Continue

Added by Don Philip Faithful on October 13, 2017 at 5:00am — No Comments

Engaging the Animal Spirit in the Narrative

How might a person go about studying something elusive like serial murder or terrorism?  I have no formal exposure in this area.  Much of the technology that I mention in this blog is meant for another purpose.  That other purpose is to study characters in movies, which for me is a great diversion.  In particular, I like to map out where certain characters might be found (or lost - i.e. missing characters): the settings they occupy, their roles, their relationships.  It goes without saying…

Continue

Added by Don Philip Faithful on October 9, 2017 at 5:00am — No Comments

Embedding Narrative Sense into Web Documents

I was joking when I entered on Google, “Where was my coworker yesterday?”  After reviewing the responses that appeared from the search engine, I continued, “What did she eat for breakfast?”  Sometimes the responses to my everyday questions seem insightful - on a certain level, interesting and intriguing.  Usually the quality of the responses is quite poor.  I assume therefore that the algorithms operating in the background don’t “understand” the sense of what I am asking.  If I were to ask,…

Continue

Added by Don Philip Faithful on April 1, 2017 at 9:30am — No Comments

Formulating the Metrics of Phenomena

In recent blogs, I have been distinguishing between quantitative data and narrative data. I believe that I separated the two forms relatively well. Although I originally focused on the differences in data in order to give narrative "its own space," actually there can be a symbiotic relationship between the two types of data. In my last blog, I said that quantitative data can be incorporated into narrative data. In my submission today, I will be discussing how the narrative can be used to…

Continue

Added by Don Philip Faithful on May 7, 2016 at 6:39am — No Comments

Following the Odour of Data - Catching Scent

In recent blogs, I wrote about using codified narrative as a form of data. I also discussed using attribution models to systematically evaluate codified narrative for ontological constructs: e.g. "child abuse" "physical confinement" "cannibalism." I provide a brief overview of these topics a bit later in the blog. The third important piece to make use of narrative data involves "attribution profiling" in a process that I call "catching scent." Following the odour of data involves…

Continue

Added by Don Philip Faithful on April 29, 2016 at 4:44am — 1 Comment

Role of Attribution Modelling in the Analysis of Codified Narrative

In this blog, I will be discussing the use of attribution models in relation to codified narrative. For this purpose, I will be referring to the plots of two films: the 1974 horror classic “The Texas Chainsaw Massacre”; and a 2014 dark comedy called “Tusk.” I have my own codification system called BERLIN: this is short for “Behavioural Event Reconstruction Linguistic Interface for Narratives.” An attribution model supports the inference of meaning from data. Imagine a student one day going…

Continue

Added by Don Philip Faithful on April 9, 2016 at 7:08am — No Comments

BERLIN and Narratives

BERLIN stands for Behavioural Event Reconstruction Linguistic Interface for Narratives. I introduced BERLIN a few blogs ago - in my "final blog." Theoretically after one's final blog, no further blogs are forthcoming. However, I am now posting bonus blogs reflecting aspects of the same closing subject. Today, I will be elaborating on BERLIN's syntax and how its searches are facilitated. As a general rule, the objective of BERLIN is to convert human-friendly narrative into computer-friendly…

Continue

Added by Don Philip Faithful on March 5, 2016 at 10:12am — No Comments

Casual Injustice

I want to interrupt my "blogging fast" in order to discuss developments to my final programming effort called Elmira. On Elmira, among other things, I hold storylines from fairytales, movies, television episodes, and real-life court cases mostly dealing with abductions, forced confinement, missing persons, sexual predators, stalkers, and serial killers. Consider a movie like "Hostel" directed by Eli Roth. With my…

Continue

Added by Don Philip Faithful on January 23, 2016 at 9:26am — No Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service