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Yang et al., 2014 - Google Patents

Large-scale high-precision topic modeling on twitter

Yang et al., 2014

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Document ID
6012126964542837593
Author
Yang S
Kolcz A
Schlaikjer A
Gupta P
Publication year
Publication venue
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

External Links

Snippet

We are interested in organizing a continuous stream of sparse and noisy texts, known as" tweets", in real time into an ontology of hundreds of topics with measurable and stringently high precision. This inference is performed over a full-scale stream of Twitter data, whose …
Continue reading at archive.gersteinlab.org (PDF) (other versions)

Classifications

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