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This is a web application designed for research on twitter and instagram hashtags, likes and shares (i.e. retweets). This application uses Riak distributed database, and erlang OTP for backend.

sallymasry/Hashtag_Analyser_By_KIS-s

 
 

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The project dit029-twitter-miner inputs api stream from twitter into riak node. It takes sample API and parses it so the hashtags become keys, and retweet_count, favorite_count and language become values then inputs using riakc into riak nodes.

The project twitter-miner-for-counting inputs api stream from twitter into riak node. It takes sample API and parses it so there is a unique tweet id as key and tag as value.This also inputs data into riak node using riakc. Please note that the mapreduce is employed on data that is input via this package. the file namely "mapred.erl" connects to the relevant riak node (which in our case is the third node with port 10037) and applies the result on the webpage.

For both projects the bucket names are the dates that the code will be running. i.e. everyday the application will run twice, inputing data in the days bucket.

twitterminer.config wich holds secret keys for the twitter account. It also requires the riak node and public port.

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This is a web application designed for research on twitter and instagram hashtags, likes and shares (i.e. retweets). This application uses Riak distributed database, and erlang OTP for backend.

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  • JavaScript 68.6%
  • CSS 13.9%
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  • Erlang 4.2%
  • PHP 3.1%