TweetsKB- A Public and Large-Scale RDF Corpus of Annotated Tweets thumbnail
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

TweetsKB- A Public and Large-Scale RDF Corpus of Annotated Tweets

Published on Jul 10, 20181215 Views

Publicly available social media archives facilitate research in a variety of fields, such as data science, sociology or the digital humanities, where Twitter has emerged as one of the most prominent s

Related categories

Chapter list

TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets00:00
Micro-blogging for everyday life00:13
Twitter - 100:34
Twitter - 201:12
Entity Relatedness ?01:41
Opinions Overtime ?02:02
Journalists manually analysed 14,000 tweets1 !02:26
Lack of large scale public social archives03:18
TweetsKB Overview03:32
Generating TweetsKB: Filtering04:30
Entity Linking05:41
Sentiment Annotation06:42
TweetKB’s overall statistics07:34
Computational Cost09:15
RDF Schema09:59
Tweets in our RDF/S model are associated with six types of elements10:38
Example12:27
Analysis of the top 100K entities and hashtags13:01
Analysis of the top 100K entities13:34
Data Exploration and Integration13:55
Temporal Entity Analytics14:43
Entity Recommendations15:39
Sustainability and Maintenance17:04
Conclusions18:28
Thanks19:14