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Language Processing and Self-Representation

Wordles
online textual self-representation: the giant text semantic repository in the sky
- facebook
- twitter
- gmail
semantic annotation and tagging of other media
- flickr descriptions
- youtube
the ongoing-conversation
- comments sections
traditional text databases
- news media
- nytimes
- wsj corpus
tools / techniques / technologies
Computer Mediated Communications (CMC)
Social Information Processing (SIP)
- Ellison, N., Heino, R., & Gibbs, J. (2006). Managing impressions online: Self-presentation processes in the online dating environment. Journal of Computer-Mediated Communication, 11(2), article 2. http://jcmc.indiana.edu/vol11/issue2/ellison.html
http://fredstutzman.com/academic.html
- Stutzman, F. (2008) The Spatial Production of Friendship. Re-Public special issue: Towards a critique of the social web http://fredstutzman.com/pubs/stutzman_republic.pdf

Facemask

broadsheet proto kit ($4000) http://www.eink.com/kits/amepd.html
- http://eink.com/kits/Broadsheetinitial_v7.pdf
http://griplipproductions.homestead.com/facecast.html

EMPAC

Language

Closed Captioning

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

Teleprompter

Language for performance Teleprompter

Wordnet similarity

wordnet::similarity word vectors

coffee#n#1: nutmeg, preparation, coffee_tree, caffeine, pulverized, coffee, arabia, tea, shelf_life, packed, hot_water, drinking, topped, java, lemon_peel, ordered, cognac, irish_whiskey, beverage, perforated, cup, sweetened, infusion, espresso, cream, boiling, dehydrated, finely, whipped_cream, stimulating, bitter, cinnamon, alkaloid
cup#n#1: loaded, drunk, disposable, mustache, coffee, boxlike, tea, saucer, footed, drinking, eucharistic, collectively, tableware, bowl, cup, standardized, greece, rim, toast, missing, ancient_greek, drinking_vessel

rifle#n#1: automatic_rifle, loads, loading, rifle, action_mechanism, bore, barrel, butt_end, breech, cartridge, fired, sliding, firearm, shotgun, lever, armored, shoulder_holster, portable, lifted, semiautomatic, forward_motion, rifled
work#n#1: dry_rot, busywork, willing, machine_tool, technology, practical, barn, shiny, undertaking, productive, wages, inquiring, waiting, unit_of_time, preliminary, cleansing, substitute, incomplete, obliged, operations, a_great_deal, rubbing, washed, separately, ophelia, outstanding, interesting, waxing, stocks, attending, papers, labor, thoroughly, heavy_lifting, wasnt, municipal, succeed, missionary, hoped, further, mechanical, medical_care, barber, assigned, meager, budget, course_of_study, attempted, disadvantaged, boss, routine, damaging, close_to, done_for, grade, directed, systematically, recreational, duties, checked, shining, shoes, piece_of_work, polishing, sunday, soap, gawkers, leave_of_absence, improve, no_longer, cleaning, housewife, handling
neck: sternum, collarbone, hanging, immunity, human_being, cartilaginous, externally, cervix, aids, elderly, body_part, glandular, rings, flex, mastoid, clavicle, admired, occipital_bone, arteries, larynx, membranous, inhaled, aorta, fold, obliquely, artery, ductless, spine, on_fire, chin, graceful
rifle#n#1 <-> neck#n#1 = 0.0728235790450328

Generative Video through NLP

edit decisions
- sequencing
- cuts
aesthetic strategies:
- side-scrolling text
- intertitles
- Ken Burns effect
collection of source video

similarity measures

Calculating the similarity of two phrases, with the goal of finding more related matches. Example: "ocean at night" to "still life, objects around the studio" versus "cat tails at the ocean"