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#! /bin/bash
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- python3 src/words_tweeted.py tweets_input/tweets.txt tweets_output/f1 .txt
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- python3 src/median_unique.py tweets_input/tweets.txt tweets_output/f2 .txt
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+ python3 src/words_tweeted.py tweets_input/tweets.txt tweets_output/ft1 .txt
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+ python3 src/median_unique.py tweets_input/tweets.txt tweets_output/ft2 .txt
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- #analytics 1
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- #bigdata 3
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- #kdn 1
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- #smb 1
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- @cxotodayalerts 1
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- @lavanyarathnam 1
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- and 1
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- answer 1
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- astrazeneca 1
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- being 1
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- big 2
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- business. 1
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- businesses: 1
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- data 1
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- deployed 1
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- effective 1
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- end 1
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- finally 1
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- for 2
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- healthcare 1
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- how 1
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- http://bddy.me/1bzukb3 1
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- http://ow.ly/o8gt3 1
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- http://ow.ly/ot2uj 1
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- interview: 1
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- is 3
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- just 1
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- not 1
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- of 1
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- on 2
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- poverty? 1
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- promise 1
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- small 1
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- the 2
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- to 1
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- wang, 1
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- xia 1
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+ #analytics 1
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+ #bigdata 3
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+ #kdn 1
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+ #smb 1
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+ @cxotodayalerts 1
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+ @lavanyarathnam 1
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+ and 1
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+ answer 1
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+ astrazeneca 1
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+ being 1
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+ big 2
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+ business. 1
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+ businesses: 1
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+ data 1
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+ deployed 1
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+ effective 1
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+ end 1
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+ finally 1
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+ for 2
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+ healthcare 1
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+ how 1
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+ http://bddy.me/1bzukb3 1
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+ http://ow.ly/o8gt3 1
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+ http://ow.ly/ot2uj 1
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+ interview: 1
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+ is 3
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+ just 1
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+ not 1
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+ of 1
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+ on 2
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+ poverty? 1
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+ promise 1
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+ small 1
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+ the 2
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+ to 1
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+ wang, 1
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+ xia 1
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