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Showing posts with the label Twitter dataset

Data Extraction from Social Media Websites

There are ample of ways to extract data from Twitter because it is available in public domain. The implementation code and procedure to extract data from twitter has been explained in detail here . Moreover, data can be extracted from Meetup.com as explained . These implementations have been performed in Python language.  As per analysis, popular profiles have been obtained using the same code of Python. Such analysis can be carried out for both commercial marketing purpose and ordinary audience surfing purpose. This can help to serve community in better ways. Other source of standard dataset for testing Twitter analysis are as follows: http://socialcomputing.asu.edu/uploads/1296759055/Twitter-dataset.zip https://ia800501.us.archive.org/32/items/twitter_cikm_2010/twitter_cikm_2010.zip http://socialsensor.eu/results/datasets/72-twitter-tdt-dataset http://snap.stanford.edu/data http://ipv6.nlsde.buaa.edu.cn/zhaojichang/paper/wntm.rar http://mklab.iti.gr/files/eve...