22
33\section {Case Study }
44
5+ \begin {frame }
6+ \frametitle {Companies \& Keywords}
7+
8+ \begin {itemize }
9+ \item Determined five companies
10+ \item Determined 23 keywords
11+ \end {itemize }
12+ \end {frame }
13+
14+ \note [itemize]{
15+ \item Table 3.1: Keywords/Branch, page 13-15
16+ \item Table 3.2: Five Companies, page 15
17+ }
18+
19+ \begin {frame }
20+ \frametitle {Gather Data}
21+
22+ \begin {itemize }
23+ \item Tweets
24+ \begin {itemize }
25+ \item Using DMI-TCAT
26+ \item Tweets from \printdate {2018-02-28} and \printdate {2018-09-07}
27+ \end {itemize }
28+
29+ \item Share Prices
30+ \begin {itemize }
31+ \item Yahoo Finance
32+ \end {itemize }
33+
34+ \end {itemize }
35+
36+ \end {frame }
37+
38+ \note [itemize]{
39+ \item Why DMI-TCAT: page 16/17
40+ \item Description of datasets beginning with page 24
41+ }
42+
543\begin {frame }
644 \frametitle {Workflow}
745
@@ -22,15 +60,15 @@ \section{Case Study}
2260 {\footnotesize
2361 \begin {table }
2462 \centering
25- \begin {tabular }[c]{!l ^r ^l ^l }
63+ \begin {tabular }[c]{!l ^r ^r }
2664 \hline
2765 \rowstyle {\bfseries }
28- Company & \# cars & Stock Exchange & Symbol \\ \hline
29- \ford {} & 6,429,485 & New York & F \\
30- \gm {} & 7,793,066 & New York & GM \\
31- \hyundai {} & 7,889,538 & Korea & 005380.KS \\
32- \toyota {} & 10,213,486 & Tokyo & 7203.T \\
33- \vw {} & 10,126,281 & Frankfurt & VOW.F \\ \hline
66+ Company & \# cars & \# keywords \\ \hline
67+ \ford {} & 6,429,485 & 2 \\
68+ \gm {} & 7,793,066 & 8 \\
69+ \hyundai {} & 7,889,538 & 2 \\
70+ \toyota {} & 10,213,486 & 3 \\
71+ \vw {} & 10,126,281 & 8 \\ \hline
3472 \end {tabular }
3573 \end {table }
3674 }
@@ -39,19 +77,20 @@ \section{Case Study}
3977\begin {frame }
4078 \frametitle {Keywords}
4179
80+ {\footnotesize
4281 \begin {table }
4382 \centering
44- \begin {tabular }{!l ^r ^r ^r }
83+ \begin {tabular }{!p{.4 \textwidth } ^p{.4 \textwidth } }
4584 \hline
4685 \rowstyle {\bfseries }
47- Company & \# keywords & \# captured tweets & \# English tweets \\ \hline
48- \ford {} & 2 & \num {4518198} & \num {3745447} \\
49- \gm {} & 8 & \num {575547} & \num {413817} \\
50- \hyundai {} & 2 & \num {1895306} & \num {697221} \\
51- \toyota {} & 3 & \num {915868} & \num {488913} \\
52- \vw {} & 8 & \num {8244083} & \num {6219350} \\ \hline
53- Total & 23 & \num {16149002} & \num {11565283} \\ \hline
86+ Company & Keywords \\ \hline
87+ \ford {} & Ford, Lincoln \\
88+ \gm {} & Baojun, Buick, Cadillac, Chevrolet, GMC, Holden, Jiefang, Wuling \\
89+ \hyundai {} & Hyundai, KIA \\
90+ \toyota {} & Daihatsu, Lexus, Toyota \\
91+ \vw {} & Audi, Bentley, Bugatti, Lamborghini, Porsche, Seat, Škoda, Volkswagen \\ \hline
5492 \end {tabular }
55- \end {table }
93+ \end {table }
94+ }
5695
5796\end {frame }
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