[304] Evil Post Apocalyptic Post

Ya no se ni que pensar.  Por lo menos salimos de la maldita fijacion con el fin del mundo maya...Como no se de que escribir hoy decidi simplemente poner dos videos relacionados a la maldad.  Indulge me...

Caso 1 - Ladytron (Evil)

Solo porque me gustan sus arrreglos...

http://www.songmeanings.net/songs/view/3530822107858590234/

Segundo - El Dia de La Bestia - solo porque me gustan las peliculas de Alex de la Iglesia y crei que el tema apocaliptico era apropiado...



http://www.moviefanfare.com/alex-de-la-iglesia/
The director, who had a stint as a comic book artist and production designer before entering filmmaking, followed with 1996’s The Day of the Beast, which may be his best film. It centers on a Roman Catholic priest (regular collaborator Alex Argulo) who believes that if he commits petty crimes, he can get the attention of the Antichrist. In fact, the good padre discovers through his studies that Satan’s spawn himself will appear in Madrid on Christmas Day. The priest heads there, soon joined by a heavy metal-loving record store owner and a phony TV psychic. If The Three Stooges spoke Spanish and were in a horror film directed by Sam Raimi, it would probably play something like the amazing Day of the Beast.

Cierro por hoy. 

[204] Open Bible - Visualizando Positivismo y Negativismo en los Libros

Tropece con esta interesante visualizacion de la Biblia.  Denota acciones positivas en Rojo y acciones negativas en Negro.  Como siempre decimos, el demonio esta en los detalles.  No sabemos todos los detalles de su metodologia pero lleva su punto de que el Libro puede ser interpretado positivamente o negativamente.

La organizacion que fundamenta este tipo de analisis es de una pagina llamada openbible.  La intencion, simplificar y crear distribuciones de informacion para hacer analisis electronicos y estadisticos a la Biblia y sus diferentes versiones.  El movimiento open se ha hecho para tratar de hacer una reglamentacion mas organizada para los sistemas de recoleccion de data modernos.

Primero les dejo el link original:

http://www.openbible.info/blog/2011/10/applying-sentiment-analysis-to-the-bible/

Sentiment analysis involves algorithmically determining if a piece of text is positive (“I like cheese”) or negative (“I hate cheese”). Think of it as Kurt Vonnegut’s story shapes backed by quantitative data.
I ran the Viralheat Sentiment API over several Bible translations to produce a composite sentiment average for each verse. Strictly speaking, the Viralheat API only returns a probability that the given text is positive or negative, not the intensity of the sentiment. For this purpose, however, probability works as a decent proxy for intensity.
The visualization takes a moving average of the data to provide a coherent story; the raw data is more jittery.

Crean o no en la metodologia lo importante es la mecanizacion de los procesos.  Estudie en mas detalles articulos previos de la pagina.  Es interesante que los problemas en digitalizar y procesar la informacion son similares a los de cualquier base de datos con programacion SQL, etc.  Aqui les dejo un poco de info de la organizacion:

http://www.openbible.info/blog/

http://www.openbible.info/blog/2011/09/bible-annotation-modeling-and-querying-in-mysql-and-couchdb/

Este paper busca como minar datos de redes sociales como Twitter y Facebook para buscar las citas y referencias mas usadas.  Miren el analisis:

The data consists of about 35 million total references.

Percent of Total	Description	Example
73.5	Single verse	John 3:16
17.1	Verse range in a single chapter	John 3:16-17
8.4	Exactly one chapter	John 3
0.7	Two or more chapters (at chapter boundaries)	John 3-4
0.1	Verses spanning two chapters (not at chapter boundaries)	John 3:16-4:2
0.1	Verses spanning three or more chapters (not at chapter boundaries)	John 3:16-5:2

About 92.9% of posts or tweets cited only one verse or verse range; 7.1% mentioned more than one verse range. Of the latter, 77% cited exactly two verse ranges; the highest had 323 independent verse ranges. Of Facebook posts, 9.1% contained multiple verse ranges, compared to 4.2% of tweets. When there were multiple ranges, 43% of the time they referred to verses in different books from the other ranges; 39% referred to verses in the same book (but not in the same chapter); and 18% referred to verses in the same chapter. (This distribution is a unusual—normally close verses stick together.)
The data, oddly, doesn’t contain any references that span multiple books. Less than 0.01% of passage accesses span multiple books on Bible Gateway, which is probably a useful upper bound for this type of data.

Key Points

1. Nearly all citations involve verses in the same chapter; only 1% involve verses in multiple chapters.
2. Of the 1% spanning two or more chapters, most refer to exact chapter boundaries.
3. Multiple-book references are even more unusual (under 0.01%) but have outsize effects: an annotation that references Genesis 1 to Revelation 22 would be relevant for every verse in the Bible.
4. Around 7% of notes contained multiple independent ranges of verses—the more text you allow for an annotation, the more likely someone is to mention multiple verses.

Estuvo fascinante la metodologia de cambiar el metodo de referenciar los libros del sistema de capitulos y versiculos.  O sea, como correlacionar un sistema completamente mecanizado estandarizado para los libros a el sistema de capitulos y versiculos.

http://www.openbible.info/labs/

Yo no se, pero el campo se ve altamente prometedor.

Finalmente, sigo recogiendo y descubriendo cosas en mi casa.  Tropece anoche con el primer issue de Acme Novelty Library por Chris Ware.  Cuando lo compre hace a/nos atras no estudie el nivel de complejidad y de informacion de su historia.  Ahora tengo rato para releer algunas de estas joyas.

http://en.wikipedia.org/wiki/Acme_Novelty_Library

Y sigo mi camino antes que sea mas tarde.