What is good for one city may not be good for another one: Evaluating generalization for tweet classification based on semantic abstraction

CEUR Workshop Proceedings

Volumn 1280, Issue , 2014, Pages 53-67

  Schulz, Axel ^a   Janssen, Frederik ^b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b Knowledge Engineering Group   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ARTIFICIAL INTELLIGENCE; SOCIAL NETWORKING (ONLINE);

DEPTH EVALUATIONS; GENERAL MODEL; LABELING PROCEDURES; LINKED OPEN DATUM; MACHINE LEARNING APPROACHES; RULE-BASED MODELS; SOCIAL MEDIA; SOCIAL MEDIA DATUM;

SEMANTIC WEB;

EID: 84909583351     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Agarwal, P., Vaithiyanathan, R., Sharma, S., Shroff, G.: Catching the long-tail: Extracting local news events from twitter. In: Proc. of ICWSM'12. (2012)
2. Ahn, D., van Rantwijk, J., de Rijke, M.: A cascaded machine learning approach to interpreting temporal expressions. In: Proc. NAACL-HLT, ACL (2007) 420-427
3. Blitzer, J., McDonald, R., Pereira, F.: Domain adaptation with structural correspondence learning. In: Proc. of EMNLP'06. EMNLP '06, Stroudsburg, PA, USA, Association for Computational Linguistics (2006) 120-128
4. Cano, A.E., Varga, A., Rowe, M., Ciravegna, F., He, Y.: Harnessing linked knowledge sources for topic classification in social media. In: Proc. HT '13, ACM (2013) 41-50
5. Daumé, III, H., Marcu, D.: Domain adaptation for statistical classifiers. J. Artif. Int. Res. 26(1) (May 2006) 101-126
6. Daume III, H.: Frustratingly easy domain adaptation. In: Proc. of ACL, ACL (2007) 256-263
7. Hienert, D., Wegener, D., Paulheim, H.: Automatic classification and relationship extraction for multi-lingual and multi-granular events from wikipedia. In: Detection, Representation, and Exploitation of Events in the Semantic Web. Volume 902 of CEUR-WS. (2012) 1-10
8. Manning, C.D., Raghavan, P, Schütze., H. In: An Introduction to Information Retrieval. Cambridge University Press (2009) 117-120
9. Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: DBpedia Spotlight: Shedding Light on the Web of Documents. In: Proc. I-Semantics'11, ACM (2011)
10. Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: Dbpedia spotlight: shedding light on the web of documents. In: Proc. of I-SEMANTICS'11, ACM (2011) 1-8
11. Muñoz García, O., García-Silva, A., Corcho, O., de la Higuera Hernández, M., Navarro, C.: Identifying topics in social media posts using dbpedia. In: Proc. of NEM Summit, Heidelberg, Germany (2011) 81-86
12. Paulheim, H.: Exploiting linked open data as background knowledge in data mining. In: Proc. of ECML/PKDD'13, DMoLD workshop. Volume 1082 of CEUR Workshop Proceedings., CEUR-WS.org (2013)
13. Ritter, A., Clark, S., Mausam, Etzioni, O.: Named entity recognition in tweets: An experi-mental study. In: Proc. of EMNLP '11, ACL (2011) 1524-1534
14. Saif, H., He, Y., Alani, H.: Semantic sentiment analysis of twitter. In: Proc. of ISWC'12, Springer (2012) 508-524
15. Schulz, A., Hadjakos, A., Paulheim, H., Nachtwey, J., Mühlhäuser, M.: A multi-indicator approach for geolocalization of tweets. In: Proc. of the Seventh International Conference on Weblogs and Social Media (ICWSM). (2013)
16. Schulz, A., Ristoski, P., Paulheim, H.: I see a car crash: Real-time detection of small scale incidents in microblogs. In: Proc. of ESWC, Springer 22-33
17. Song, Y., Wang, H., Wang, Z., Li, H., Chen, W.: Short text conceptualization using a proba-bilistic knowledgebase. In: Proc. of IJCAI, AAAI (2011) 2330-2336
18. Strötgen, J., Gertz, M.: Multilingual and cross-domain temporal tagging. Language Resources and Evaluation (2012)
19. Witten, I.H., Frank, E.: Data mining: practical machine learning tools and techniques. Morgan Kaufman, Amsterdam, Netherlands (2005)
20. Xu, T., Oard, D.W.: Wikipedia-based topic clustering for microblogs. Proc. Am. Soc. Info. Sci. Tech. 48(1) (2011) 1-10