BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
BEGIN:VEVENT
UID:368@lincs.fr
DTSTART;TZID=Europe/Paris:20180514T163000
DTEND;TZID=Europe/Paris:20180514T170000
DTSTAMP:20180515T060848Z
URL:https://www.lincs.fr/events/topic-detection-and-classification-in-twit
 ter/
SUMMARY:Topic detection and classification in Twitter
DESCRIPTION:In this talk we introduce a novel information propagation
 method in Twitter\, while maintaining a low computational complexity. The
 proposed method first employs Joint Complexity\, which is defined as the
 cardinality of a set of all distinct factors of a given string represented
 by suffix trees\, to perform topic detection. Then based on the nature of
 the data\, we apply the theory of Compressive Sensing to perform topic
 classification by recovering an indicator vector\, while reducing
 significantly the amount of information from tweets. Based on the spatial
 correlation of tweets and the score matrices\, we apply a framework to
 complete matrices from a small number of random sample scores. We exploit
 datasets in various languages collected by using the Twitter streaming API
 and achieve better classification accuracy when compared with
 state-of-the-art methods.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS / EIT Digital\, 23 avenue d'Italie\, 75013 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS / EIT Digital:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:DAYLIGHT
DTSTART:20180325T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR