Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
DisciplineDiscipline
-
Is Peer ReviewedIs Peer Reviewed
-
Reading LevelReading Level
-
Content TypeContent Type
-
YearFrom:-To:
-
More FiltersMore FiltersItem TypeIs Full-Text AvailableSubjectPublisherSourceDonorLanguagePlace of PublicationContributorsLocation
Done
Filters
Reset
6
result(s) for
"Transformers (Television program)"
Sort by:
Detecting Moral Features in TV Series with a Transformer Architecture through Dictionary-Based Word Embedding
by
Fantozzi, Paolo
,
Rotondi, Valentina
,
Rizzolli, Matteo
in
Analysis
,
Audiences
,
Computer & video games
2024
Moral features are essential components of TV series, helping the audience to engage with the story, exploring themes beyond sheer entertainment, reflecting current social issues, and leaving a long-lasting impact on the viewers. Their presence shows through the language employed in the plot description. Their detection helps regarding understanding the series writers’ underlying message. In this paper, we propose an approach to detect moral features in TV series. We rely on the Moral Foundations Theory (MFT) framework to classify moral features and use the associated MFT dictionary to identify the words expressing those features. Our approach combines that dictionary with word embedding and similarity analysis through a deep learning SBERT (Sentence-Bidirectional Encoder Representations from Transformers) architecture to quantify the comparative prominence of moral features. We validate the approach by applying it to the definition of the MFT moral feature labels as appearing in general authoritative dictionaries. We apply our technique to the summaries of a selection of TV series representative of several genres and relate the results to the actual content of each series, showing the consistency of results.
Journal Article
MOVIES; The sum of their graphic parts
2007
\"There is acting involved\" on the robots' part, says [Scott Farrar], who has worked for George Lucas' Industrial Light & Magic for the last 26 years. \"There is a lot of humor and very dramatic nighttime lighting.\" \"It's essentially the same configuration and the same layout as far as large shapes are concerned,\" says Farrar. \"But it's many times greater in the computer graphic's version.\" \"We would show him the shots,\" he says. \"He's directing the shots, but he would always welcome proposals on our part. [Michael Bay] had never done a film like this, so he had a bit of a learning curve, but he really caught on to what we were doing,\" especially when it came time to direct the performances of the Transformers. \"Michael is really sharp about poses and when to look at the camera after working with actors,\" says Farrar. \"I have that background in cinematography, so it was really a good complement.\"
Newspaper Article
TURTLE TALK
2014
The phenomenon started, so the story goes, as a self-published parody of Marvel Comics' mutant teenagers and samurai-style superheroes, a manga-style Frank Miller superhero, and Dave Sim's anthropomorphized aardvark. Young Artists Kevin Eastman and Peter Laird whirred those comic-book heroes into a potent mash-up that became the Teenage Mutant Ninja Turtles. Produced by Michael Bay of Transformers fame and directed by Jonathan Liebesman, Paramount Pictures' Teenage Mutant Ninja Turtles features the four superhero turtles, their sensei rat Splinter, and their nemesis Shredder, all CG characters. Each CG character had an actor on set who performed the narrative scenes and a counterpart stunt actor for the action scenes. Alan Ritchson is Raphael, Noel Fisher is Michelangelo, and Jeremy Howard is Donatello. Pete Ploszek played Leonardo on set and Johnny Knoxville provided his voice. The CG turtles look buff, tough, and every inch a superhero. They stand about six inches taller than the actors who portray them.
Magazine Article