Open MichielOHerne opened 6 years ago
setup of project: https://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/
examples how to sort data: https://www.analyticsvidhya.com/blog/2014/07/world-cheering-2014-fifa-wc-winner-twitter/
python based twitter apis: https://developer.twitter.com/en/docs/developer-utilities/twitter-libraries#python
twitter sentiment analysis example using spark: https://mapr.com/blog/spark-streaming-and-twitter-sentiment-analysis/
tweet import using spark: https://medium.com/@harinilabs/day-6-realtime-tweets-analysis-using-spark-streaming-with-scala-10a9937aae57 + https://github.com/harinij/100DaysOfCode/tree/master/Day%206%20-%20Spark%20Streaming%20using%20Scala
realtime tweet analysis using spark: https://www.toptal.com/apache/apache-spark-streaming-twitter
spark java guide importing tweets: http://ampcamp.berkeley.edu/big-data-mini-course/realtime-processing-with-spark-streaming.html
big data for noobs: https://rawkintrevo.org/2016/09/30/big-data-for-n00bs-my-first-streaming-flink-program-twitter/
flink how-to diagrams: https://github.com/wdm0006/flink-python-examples
Old Twitter data to test algorithms: https://archive.org/details/archiveteam-json-twitterstream https://archive.org/search.php?query=collection%3Atwitterstream&sort=-publicdate
twitter "spritzer" definition: http://www.adweek.com/digital/twittery-things-you-forgot-existed/#/
NLTK in Nederlands: https://stackoverflow.com/questions/40212895/nltk-tag-dutch-sentence
Filmpje over NLTK (21 delen): https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL
most used English words: http://techland.time.com/2009/06/08/the-500-most-frequently-used-words-on-twitter/
small bit on geo streaming: https://cmry.github.io/notes/twitter-python
matlibplot: https://stackoverflow.com/questions/11874767/real-time-plotting-in-while-loop-with-matplotlib
Visualizing data with plot.ly: https://plot.ly/python/reference/
500 popular words: http://techland.time.com/2009/06/08/the-500-most-frequently-used-words-on-twitter/
setup of project: https://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/
examples how to sort data: https://www.analyticsvidhya.com/blog/2014/07/world-cheering-2014-fifa-wc-winner-twitter/
python based twitter apis: https://developer.twitter.com/en/docs/developer-utilities/twitter-libraries#python
twitter sentiment analysis example using spark: https://mapr.com/blog/spark-streaming-and-twitter-sentiment-analysis/
tweet import using spark: https://medium.com/@harinilabs/day-6-realtime-tweets-analysis-using-spark-streaming-with-scala-10a9937aae57 + https://github.com/harinij/100DaysOfCode/tree/master/Day%206%20-%20Spark%20Streaming%20using%20Scala
realtime tweet analysis using spark: https://www.toptal.com/apache/apache-spark-streaming-twitter
spark java guide importing tweets: http://ampcamp.berkeley.edu/big-data-mini-course/realtime-processing-with-spark-streaming.html
big data for noobs: https://rawkintrevo.org/2016/09/30/big-data-for-n00bs-my-first-streaming-flink-program-twitter/
flink how-to diagrams: https://github.com/wdm0006/flink-python-examples
Old Twitter data to test algorithms: https://archive.org/details/archiveteam-json-twitterstream https://archive.org/search.php?query=collection%3Atwitterstream&sort=-publicdate
twitter "spritzer" definition: http://www.adweek.com/digital/twittery-things-you-forgot-existed/#/
NLTK in Nederlands: https://stackoverflow.com/questions/40212895/nltk-tag-dutch-sentence
Filmpje over NLTK (21 delen): https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL
most used English words: http://techland.time.com/2009/06/08/the-500-most-frequently-used-words-on-twitter/
small bit on geo streaming: https://cmry.github.io/notes/twitter-python
matlibplot: https://stackoverflow.com/questions/11874767/real-time-plotting-in-while-loop-with-matplotlib
Visualizing data with plot.ly: https://plot.ly/python/reference/
500 popular words: http://techland.time.com/2009/06/08/the-500-most-frequently-used-words-on-twitter/