this is for holding javascript data
Mircea Trifan edited Introduction.tex
about 10 years ago
Commit id: 1e8733b53a82a003cf7f5e3779c5ce886893f4f4
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A few definitions relating the application for Twitter domain are considered.
The graph vertices are labeled by a string representing the user id for example: "@John". The topology of the Twitter graph varies in time. In consequence the Twitter Graph is formalized by G(n) = ( V(n), E(n) ) where n denotes the graph at the discrete time sample n. A( n ) is the adjancency matrix and k( n ) is the degree vector.
Twitter
N NER:
Users @
RT
OpenNLP:
people,
places,
dates
$ stock market
# hash
http
youtube
Freebase
news
trends
Twitter2011 corpus
co-occurence matrix on spritzer or trends or search phrase or schema.org
tf-idf for concepts with cascading on accumulo
feedback loop on keywords for streaming api
semantic fields
cep
text patterns between entities
search entities
cascading in M3Data (Lingual) +ML (PMML)