Twitter research platform: Difference between revisions
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https://www.quora.com/What-are-the-best-supervised-learning-algorithms-for-sentiment-analysis-in-text | 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 | |||
== See Also == | == See Also == | ||
* [[Elastic Search Notes]] | * [[Elastic Search Notes]] | ||
Revision as of 14:31, 21 October 2015
Version 1.0
- fetch the data /twitter_streaming_es.py
- do queries on the data
- search eater
- queue processor
- rate limiting aware.
---
- installed elastics search. mostly rooted in /data/elasticsearch
- https://github.com/mobz/elasticsearch-head
- 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
- 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 )
databases: https://www.quora.com/Is-there-a-downloadable-database-of-positive-and-negative-words
