What most people call “analysis,” I refer to this as “guidance.” It is not guidance in terms of guiding the company; but rather, I provide a narrative to help guide people through the data - of which there is a great deal. I play the role of a tour guide. I remember when I was a teaching assistant for a social science class - and there was a contentious area that would likely be the focal point for essays - I said that it didn’t matter to me what “opinions” people expressed. Nobody had…
ContinueAdded by Don Philip Faithful on March 3, 2018 at 11:00am — 1 Comment
A fictitious retailer which I am calling Malwart sells automobiles and automotive parts. On this blog I will be focused on the sale of a particular automobile model called the Blair - a sporty compact that can be ordered in custom colour schemes. Because all sales must be done by clients that also have accounts,…
ContinueAdded by Don Philip Faithful on December 24, 2017 at 6:30am — No Comments
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…
ContinueAdded by Don Philip Faithful on October 13, 2017 at 5:00am — No Comments
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…
ContinueAdded by Don Philip Faithful on October 9, 2017 at 5:00am — No Comments
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,…
ContinueAdded by Don Philip Faithful on April 1, 2017 at 9:30am — No Comments
For a number of months, I have been generating codified narrative from films, fairytales, paintings, court cases, and news events. Codified narrative might be described as a tokenized rendition of the underlying content. There are many ways to do a rendering. Imagine asking 100,000 people to write a story based on the same general details such as scenery, major events, and specific outcomes. To the extent there are commonalities in the resulting storylines, I would say that "social…
ContinueAdded by Don Philip Faithful on June 11, 2016 at 10:22am — No Comments
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…
ContinueAdded by Don Philip Faithful on April 29, 2016 at 4:44am — 1 Comment
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…
ContinueAdded by Don Philip Faithful on April 9, 2016 at 7:08am — No Comments
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…
ContinueAdded by Don Philip Faithful on March 5, 2016 at 10:12am — No Comments
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…
ContinueAdded by Don Philip Faithful on January 23, 2016 at 9:26am — No Comments
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