DEIM Forum 2014 B Twitter,,,, 1. Twitter [1] Saka

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1 DEIM Forum 2014 B Twitter,,,, 1. Twitter [1] Sakaki [2] ( ) Lee [3] 1% Paradesi [4] Gazetteer Cheng [5] Cheng Gazetteer Gazetteer Houston rockets Cheng Chang [6] Cheng Gazetteer

2 2. 1 t x = (lat, lon) P t(x) P t(x) W S l k (k = 1, ) G k 1 Step1) Step2) 2 Step1) Twitter S l k x k,n (n = 1,, N k ) x k,n ω k,n (0 < = ω < = 1) G k = (ω k,n, x k,n ) l k W Step2) t l m(m = 1,, M) l m M m=1 Gm P t(x) a j (j = 1,, J) TermExtract [7] Brooklyn Brooklyn Museum J a j u i a j Score i,j Score i,j = n i,j idf i (1) idf i = log J (2) d i n i,j a j u i d i u i n i,j a j u i idf i u i Score i,j > = T h u i l k l k x k,n Score i,j a j u i ( = u i) n i,j d i = 1 n i,j θ

3 W W τ L τ L l k L (k = 1, ) L ω τ k,n ω τ+1 k,n ω k,n γ k ω τ+1 k,n = ω τ k,n γ k (3) ω τ+1 i,n < 0 ωτ+1 k,n = 0 l k γ k = 0 l k γ k = 1 γ k l k s k = 1 2s k s 2 k (4) γ k s k = A k A k A k A k A k l k A k l k S A k A τ A τ+1 k A k (if A τ k A k = ) k = (otherwise) A k (5) (6) L S λ l k ω τ+1 k,n = 0 L L τ+1 = L τ L (7) l k L (k = 1, ) x k,n (n = 1,, N k ) ω k,n = t M l m(m = 1,, M) M m=1 Gm P t(x) x P t(x) = 1 hω Ω = M M N m m=1 n=1 N m m=1 n=1 ( x xm,n ) ω m,n K h (8) ω m,n (9) K(x) = 1 2π e 1 2 x2 (10) N m l m h K( ) Silverman [8] h = 1.06ˆσ(M N m) 1/5 (11) ˆσ 3. 2 (1) (2) 3. 1 Twitter Streaming API ,779,944 W % J = 279 T Accuracy (ACC) Average Error Distance (AED)

4 2 θ L T (DB 1 ) 4 θ L T (DB 2 ) 3 θ ACC AED (DB 1 ) 5 θ ACC AED (DB 2 ) ACC = {t t T ErrDist(t) < = 160[km] T t T AED = ErrDist(t) T (12) (13) ErrDist(t) = d(x act (t), x est (t)) (14) x act (t) t x est (t) t x est (t) = arg max P t (x) ErrDist(t) x [km] ErrDist(t) < = 160[km] t ,494,710 DB ,280,012 DB ,569 2 θ DB 1 L T θ = 0 θ = 3 L T 3 3 θ DB 1 ACC AED θ = 6 ACC AED 3 That was a pretty damn good movie Missing my love bag! Well time to sleep. ACC AED T 4 θ DB 2 L T DB L L DB 1 DB 2 T θ ACC AED DB 1 θ = 6 ACC AED θ DB 1 ACC AED θ = 24 ACC = 0.5 AED = 662[km]

5 1 DB ( ) DB 1 ErrDist [km] Pit stop before our walk on the seven mile bridge. (@ Mrs. Mac s Kitchen) Delaware is kinda cool yaso please come to banana bay tonight DB 2 I-75 North Bound! Go Cats! #CSW Got tickets to see Luke Bryan with the best roommates! Duke game with my favorite little Wallace Wade Stadium 3.95 DB 1 DB 2 (DB 1 /DB 2 ) Happy # disney # disneyland 4.47/1.04 Manhattan here we go 36.08/39.57 One thing I love about living in Arizona, I can tan until December / ( ) DB 1 ErrDist [km] Waited 13 minutes at Dunkin for my donut I talked about Harry Potter for a solid 2 hours last night. I would be ok with moving into a teepee in the mountains DB 2 Breaking the boots out for the first time this September Menziel told the fans in the stadium to be quiet and they did Start to Oktoberfest!! (@ Ore House Restaurant DB 1 DB 2 (DB 1 /DB 2 ) All packed up and on our way to Dublin, VA to see :-) yay!! That is excellent news!! Where in Ohio do u live? / Maybe I ll go to LAX when I go to / Cheng [5] (ACC = 0.51) (AED = 857[km]) Cheng Cheng 5 3, , θ = 6 DB 3 DB 2 DB 1 3 DB 1 DB 2 3 DB 2 DB 1 DB 2 3 DB 1 3 DB 2 DB 1 3 DB DB 1 DB 2 DB 3 30 DB DB 2 1 DB 3 1 DB 1

6 4 DB (30 ) DB DB 1 DB 2 DB 3 T ACC AED DB 2 DB 3 DB 2 DB 3 ACC AED θ = 6 DB 3 λ = 5 6 DB L DB 1 DB 1 L 10 DB L DB 2 3,000 DB 3 L 30 DB 1 DB 1 7 DB T DB 1 L DB 2 DB 3 DB 3 DB 2 L 8 9 DB ACC AED DB 1 DB 3 DB 2 ACC AED 4 DB 30 DB 1 DB T ACC AED DB 2 L T ACC AED DB 1 DB 3 ACC AED DB 2 DB 1 DB 1 ACC AED 5 DB 3 5 DB 1 DB 3 thunder 5 DB 2 DB 3 P ewaukee F lorida Georgia Line F lorida Georgia Line F lorida Georgia Line F lorida Georgia rain rain 4. Twitter 50% 39.7% 928km

7 6 DB L 8 DB ACC 7 DB T 9 DB AED 5 DB 3 ( ) DB 1 ErrDist [km] He likes the redskins C mon Cowboys! Lets take care of bidness thunder while driving is a little scary I just want to sit here with the rain and Justin Vernon all day jones Will is butthurt after the Eagles lost DB 2 Wellfleet, Cape Cod no ill be at ETSU. I told u yesterday when we were at the movies Oktoberfest with the fam #family #sunday #fun Snowbird Ski I m sorry cuh. I left all my basedness at sun city :/ not in Pewaukee anymore!? Congrats, where did you find a place!? 3.14 [1] Twitter, [2] T. Sakaki, M. Okazaki, and Y. Matsuo, Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors, Proceedings of International World Wide Web Conference (WWW), pp , [3] R. Lee, S. Wakamiya, and K. Sumiya, Discovery of Unusual Regional Social Activities Using Geo-tagged Microblogs, World Wide Web Spacial Issue on Mobile Services on the Web, 14(4) pp , [4] S. Paradesi, Geotagging Tweets using Their Content, Proceedings of International Florida Artificial Intelligence Research Society Conference (FLAIRS), pp , [5] Z. Cheng, J. Caverlee, and K. Lee, You are Where You Tweet: A Content-based Approach to Geo-locating Twitter Users, Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), pp , [6] H. -W. Chang, D. Lee, M. Eltaher, and J. Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage, Proceedings of International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp , [7] TermExtract, [8] B. W. Silverman, Density Estimation for Statistics and Data Analysis, Chapman and Hall, 1986.

8 図 10 ローカル語 F lorida Georgia Line が日別に示す位置と実際にライブが行われた場所 図 11 ローカル語 rain を用いて正しく位置推定が出来たツイートの内容と推定位置

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