@who’s talking about #music? -...

Saturday, May 26, 2012

@who’s talking about #music? Rehab Albeladi Jens Folmer George Markou Christoph Pinkel

2nd ESWC Summer School 2012 1/12 26/05/2012


Use case scenario



Use case scenario

3 clicks + 2 searches



What do


Proposed Solution

• Introduction

• Proposed Solution • Future Work

• Conclusion



#one click solution

• Combining data from Musicbrainz with Twitter (tweets) Using Twitter API/Twitter dataset (16M tweets)

• Searching for appropriate music hashtags tweeted by users

• Analyzing the frequency of the specific hashtags per user

• Ranking of the most prolific users per hashtag

• Presenting results using Information Workbench

One click to follow an appropriate user!



Storing Twitter Information

<http://some_topic>

foaf:OnlineAccount

group1:Association “0.9”

xsd:float

group1:score

group1:assocSubject

group1:assocObject



Experimental Setup

Musicbrainz

Repository Twitter Data

Information

Workbench

User Interface



Twitter Stats

Hashtag UserID Hashtag/User

Tweets

Score

rihanna SoCelebRihanna 4/4 1.0

news4trends 8/86 0.09

beatles BEATLESDAY 5/12 0.042

u2 tweettools4U 6/6 1.0

u2torrents 4/4 1.0

mjbieber

RIP_Michael 17/17 1.0

JustinBieber 13/16 0.813

ladygaga SoLadyGagaGaga 4/4 1.0

heygagaru 5/5 1.0



TODO: SCREENSHOT



Future Work

• Introduction

• Proposed Solution

• Future Work • Conclusion



Future Work

Musicbrainz

Repository

Twitter

Information

Workbench

• Explicit user feedback

• Forecast popular music

genres

• Apply to different scenarios

• Consider correlated tags for

related content

Facebook

Youtube

etc.


dbpedia,

etree, …


Conclusion

• Introduction

• Proposed Solution

• Future Work

• Conclusion



Conclusion

• Combined Twitter with Musicbrainz

• Score users on hashtag frequency

• Suggest Twitter users based on the displayed content

• Having a user interface to visualize the results

one click solution

Thank you for your

attention!

Questions?



Related Work

Abel, F., Gao, Q., Houben, G., & Tao, K. (2011). Analyzing User Modeling on Twitter for Personalized News Recommendations. Lecture Notes in Computer Science: User Modeling, Adaption and Personalization, 6787, 1-12.

Abel, F., Gao, Q., Houben, G., & Tao, K. (2011). Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web. ESWC, (pp. 375-389).

Boyd, D., Golder, S., & Lotan, G. (2008). Tweet, tweet, retweet : Conversational aspects of retweeting on Twitter. 43rd Hawaii International Conf. on System Sciences.

Celik, I., Abel, F., & Houben, G. (2011). Learning Semantic Relationships between Entities in Twitter. ICWE, (pp. 167-181).

Lee, K., Caverlee, J., Cheng, Z., & D.Z., S. (2011). Content-driven detection of campaigns in social media. CIKM.

Mendes, P., Passant, A., & Kapanipathi, P. (2010). Twarql: tapping into the wisdom of the crowd . 6th International Conference on Semantic Systems (I-SEMANTICS '10).

Zhang, Y., Wu, Y., & Yang, Q. (2012). Community Discovery in Twitter Based on User Interests. Journal of Computational Information Systems.


@who’s talking about #music? -...

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