Twitter research platform: Difference between revisions

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== Version 1.0 ==
== Version 1.0 ==


* fetch the data
* fetch the data [[/twitter_streaming_es.py]]
* do queries on the data
* do queries on the data
* search eater
* search eater
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* https://github.com/mobz/elasticsearch-head
* https://github.com/mobz/elasticsearch-head
* prototype http://adilmoujahid.com/posts/2014/07/twitter-analytics/
* prototype http://adilmoujahid.com/posts/2014/07/twitter-analytics/
* elk https://www.digitalocean.com/community/tutorials/how-to-install-elasticsearch-logstash-and-kibana-4-on-ubuntu-14-04
* http://192.168.1.98:9200/_plugin/head/


== version 2.0 ==
== version 2.0 ==
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* store the results
* store the results
* don't store the data yourself.
* don't store the data yourself.
== Sentiment notes ==
http://www.cs.columbia.edu/~julia/papers/Agarwaletal11.pdf
http://www.csc.ncsu.edu/faculty/healey/tweet_viz/
http://www.cs.cornell.edu/home/llee/papers/sentiment.pdf ( ML for Sentiment )
https://www.quora.com/What-are-the-best-supervised-learning-algorithms-for-sentiment-analysis-in-text
databases: https://www.quora.com/Is-there-a-downloadable-database-of-positive-and-negative-words
== deployment notes ==
working dir: /home/david/work/trp
running stream collector:
while true; do python mydatetime.py ; sleep 5; done
sends data to elastic search.
== See Also ==
* [[Elastic Search Notes]]

Latest revision as of 22:50, 20 December 2015

Version 1.0

---

version 2.0

  • proxy the queries
  • store the results
  • don't store the data yourself.


Sentiment notes

http://www.cs.columbia.edu/~julia/papers/Agarwaletal11.pdf

http://www.csc.ncsu.edu/faculty/healey/tweet_viz/

http://www.cs.cornell.edu/home/llee/papers/sentiment.pdf ( ML for Sentiment )

https://www.quora.com/What-are-the-best-supervised-learning-algorithms-for-sentiment-analysis-in-text

databases: https://www.quora.com/Is-there-a-downloadable-database-of-positive-and-negative-words

deployment notes

working dir: /home/david/work/trp

running stream collector:

while true; do python mydatetime.py ; sleep 5; done

sends data to elastic search.


See Also