requirements on analysis tools for "Big Data" especially text analysis tools, of course jussi karlgren gavagai ! stockholm nlp meetup, october 2014 gavagai text analysis on internet scale since 2008 applied primarily to media monitoring right here in Stockholm jussi karlgren founder researcher in text stylistics and evaluation of information access systems adjoint professor of language technology at kth big data is not just slightly larger data it’s not a scalability issue situation awareness, not search @tripbirds at instead. Ping @jonasl @jocke Internetdagarna. #ind11 (@ Stockholm Waterfront Congre Centre w/ 7 others) http://t.co/lf3eLdOT @RonnieRitter ska på #ind11! Eller menar du den här jädra omg, YITAS Werd så-gullig-marsplan? :) ! and my rents caught me @LennartBon @mansj gameon! #ind11 Gr8 work, rly gr8 work! new text needs robust analysis wos the otha place we gt chased out of?hehe!tht wos ! so funny! @per_p ja! Kul att du kommer! där hela the yr 5's Blir enit idu wos callin ya but veckan? u were 2 busy #in *grins evil* sup lol well.....dunno lol wat i wud tap that u lik? rly? thx stranger thank u hehe :)ssssssshhhhhh! ..... i wish i wos eatin a all da cakes lol. member. fantage_girl08 8 months ago. we hate each! other bcuz ... we r the sissters adn we wil cill u al bcuz u dun ppl think you need to grow up x beliv our story!!!! por ke sabes tantO... ! ! ! ! is bcuz she is dead she tried 2 come bak then and soposedly got out ..... of 2 sexy 4 u? and all the q's and a's are similar to each other. ... Dragon Ball Z: Budokai Tenkaichi 4 might feature !a character ... -MORE MORE MORE ATTACKS, like goku for example, in bt3 he he has two .... In yor msg bjr, Adele!! koi29? lut, ca va? heeh had a kewl day morph? =) Greeting i came home 2 am ..and went up at 9 sum bastard woke me up @ 2pm =P heh naah. Irritation i h8 dat guy lol phoner on the sms? :) #"$%&%' ("#$%&. τήλε — !"#$ () *)+. video — %&'()%) — ,)-./$0)"*1 1)*#"), 42%$)-/ .)--+#+$/ )& 5#$)(/ 642-)&/0)423)61*#"#"/3 .2$ %/*7# 8$)&3*/$#"/3+-/3.! 8#*#-/7/2 4)19:#"*2"#"/ 3)+)-#3 /;#"3 0-/)&/ 1920-/)&/ 9*#"/()&. *#-/7/) 06() )<81)*1$/ :-#*) 35#$2./, +14=) %/$/+)()( 3)&)6)2" 3)/&52$4)=/2 51&<=/) 4//;2. "2*2 9*#"./ /&8#$/3 0)&-/+)$#" 81)*1$/ 0)6() /&8#$ 8#*#-/7/).! ⾃自らの作品制作を⾏行うかたわら、芸術イベント『GEISAI』プロジェクトのチェアマンを務め、アーティスト集団 『カイカイ・キキ(Kaikai Kiki)』を主宰し、若⼿手アーティストのプロデュースを⾏行うなど、活発な活動を展開 4 h of news feed している。同集団は、アメリカのニューヨークにも版権を管理するエージェントオフィスをもつ。( ! 43171 English ⽇日本アニメポップ的な作⾵風の裏には、⽇日本画の浮世絵や琳派の構成に影響されている部分も強く、⽇日本画のフラ 15135 Chinese 9939 German ト感、オタクの⽂文脈とのリンクなど現代⽂文化のキーワードが含まれている。中でもアニメ、フィギュアなどいわ 7526 Spanish ゆるサブカルチャーであるオタク系の題材を⽤用いた作品が有名。アニメ⾵風の美少⼥女キャラクターをモチーフとし 4899 French た作品は中原浩⼤大の「ナディア」に影響を受けたと本⼈人も認めている。アニメーター・⾦金⽥田伊功の影響を強く受 3611 Russian the internet is not in english any more 3167 Japanese けており、⾃自分の作品は⾦金⽥田の功績を作例として表現しているだけと話したこともある。 この村上の⼀一連の創作 2879 Italian 2722 Korean 活動について漫画家の細野不⼆二彦は⾃自⾝身の作品『ギャラリーフェイク』を通して「既成⽂文化の盗作に過ぎない。 2432 Swedish ⽇日本のオタク⽂文化に詳しくない外国⼈人が、これらの作品の引⽤用的要素をオリジナリティと勘違いして⾼高く評価す 1904 Dutch 1795 Portuguese るのは当たり前」と⾮非難している(細野はかつてスタジオぬえのスタッフだった)。また、漫画原作者である⼤大 1752 Turkish 塚英志は教授として就任した⼤大学のトークショーにおいて「現代美術のパチモノの村上隆は尊敬はしないし、潰 1389 Arabic していく。我々の⾔言うむらかみたかしは4コマまんがの村上たかしのことだ」と強く⾮非難している。⼤大塚は現代美 1362 Hungarian ... 術家がサブカルを安易に取り上げることや後述のリトルボーイ展の戦後⽇日本⼈人のメンタリティを無視した展⽰示内 5 Kannada 容に強い不快感を持っている。また映画評論家の町⼭山智浩も⾃自⾝身のブログで、「本来好きでもないのに、『電通 4 Galician 3 Maltese 的なマーケティング』でアニメ的⼿手法を⽤用いているのが許せない」「村上⾃自⾝身は『⾃自分には表現すべきものがな ! い』と⾔言っているそうだが、本当は『⾃自分は偉い』ということだけがテーマなのだ」と、村上を痛烈に批判して ... いる。精神科医の斎藤環は、「村上隆は⽇日本のオタク⽂文化のいいとこどりをしただけ」といった批判は根本的に noise is not something you wash off change is normal learning, not training it's not search any more it's not about the needle in the haystack it's about the shape of the field over time it's about situation awareness, not misplaced items from features to tasks - where do we (as nlp professionals) want to contribute? what is our expertise? fiddling with parameters? formulating features? building tools? understanding people? understanding language? note 1 any model we wish to deploy in practical use must prove its worth by improving something • how to evaluate? • quantitatively? what do we want to achieve? • product output quality? • better coverage? • product agility? • explanatory power? evaluation? how? what are our objective target functions? make them explicit! research: explanatory height! engineering: scalability! industrial application: convenience and scale! sales: revenue! evaluation by research: gold standards engineering: unit tests, performance profiling, and sla sales: revenue industrial application: profit gold standard test subjects data use case system practicioners task context features algorithm parameters clients how can we stop our resource from becoming a wet blanket? note 2 difficult vs easy tasks why use computational methods and machinery for information access? 1 amount of data is overwhelming → reduce data complexity let’s call these “simple” tasks 2 signal is weak and complex → peer closer into data let’s call these “simple” tasks data note 3: meteorology as a model measure process, rather than outcome a case in point sentiment analysis sentiment analysis is difficult and challenging And the sound quality - my God! Raymond left no room for error on his recordings and it shows. Definitely one of the better tracks on the album. Wow, could have been a expansion pack. I loved The Spy Who Came In From The Cold but the movie is a bit dated in a way the book never will be. Meat is more environmentally friendly than seafood. I am unsure about the feasibility of this knitting pattern. I love the Samsung B2710 but I would not recommend it to my colleagues. I don't know if I should call her up – I liked her when I met her last weekend. This is true. this is why it's fun but is it any good? (in terms of the above discussion) hypothesis since human emotion is (likely to be better) represented by dimensional model, not a categorial model, textual attitude also should be modelled dimensionally can this be tested with our setup? well-established basic emotions anger, fear, sadness, enjoyment, disgust, surprise, contempt (recent addition) candidate basic emotions amusement, relief, excitement, shame, pride in achievement, guilt, embarrassment, contentment, awe, sensory pleasure example of criticism: where is jealousy and paternal love? arousal strength valence technology enabler: the big data stack a semantic base technology? is this an example of that? are these two the same? has this changed? how? what is the relation of this and that? is this a new way of saying that? are these or those more like this? is this typical or strange? can we trust this? does the author believe this to be true? evaluating marketing campaigns giveaways to bloggers traditional marketing campaign giveaways to cosmetics subscribers tracking violence in the world kazakhstan stands out unreported in western media, a violent altercation in a court where protestors were sentenced to prison sentences took place on this week in 2012 what are now our requirements? learn, don't expect teaching answer the right questions (first, formulate those questions) embrace change, analogy, and homeosemy model what is similar between languages not what is specific to them aim for situation awareness, not classification as primary task adjust evaluation metrics accordingly measure process, not outcome on gold standard note that sales figures are but one aspect of evaluation !
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