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Seminar zu Datenverwaltung

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Seminar zu Datenverwaltung - Themen

1. Ein Anwendungsszenario für Sentiment Analysis:
Business Intelligence über unstrukturierten Daten (Roland Günther)

Advisor: Jürgen Broß
keywords: business intelligence
starting points:

• - "Nutzung unstrukturierter Daten für Business Intelligence", A. Lang und B. Reinwald, Datenbank-Spektrum 25/2008
• - "Web 2.0 Business Analytics", A. Löser et al., Datenbank-Spektrum 25/2008
• - "Deriving marketing intelligence from online discussion", M. Hurst et al., Proceedings of the eleventh ACM SIGKDD, 2005
  
• - "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web", S. Das und M. Chen, Management Science, 2007
• - "Opinion Mining and Sentiment Analysis", B. Pang and L. Lee, 2008, Kapitel 6.1
  

2. Statistische Modelle zur Sentiment Analysis (Jörg Busse und Patryk Mazur)

Advisor: Jürgen Broß
keywords: topic modeling, generative language models, latent dirichlet allocation, statistics
starting points:

• - "A Joint Model of Text and Aspect Ratings for Sentiment Summarization", I. Titov und R. McDonald, Proceedings of ACL-08: HLT, 2008
• - "Topic sentiment mixture: modeling facets and opinions in weblogs", Q. Mei et al., Proceedings of the 16th international conference on World Wide Web, 2007
• - "Probabilistic topic models", M. Steyvers und T. Griffiths, Handbook of Latent Semantic Analysis, pp. 427, 2007
  

3. Linguistische Modelle zur Sentiment Analysis (Philipp Ledermann)

Advisor: Jürgen Broß
keywords: computational linguistics
starting points:

• - "Learning subjective language", Journal of Computational Linguistics, pp. 277--308, 2004
• - "Contextual valence shifters", L. Polanyi und A. Zaenen, Computing Attitude and Affect in Text: Theory and Application, 2006
• - "Manual and Automatic Subjectivity and Sentiment Analysis", presentation at EUROLAN 2007
  

4. Maschinenlernverfahren zur Sentiment Analysis (Ewa Kampa)

Advisor:  Jürgen Broß
keywords: classification
starting points:

• - "Thumbs up?: sentiment classification using machine learning techniques", B. Pang et al., EMNLP '02: Proceedings of the ACL-02 conference on Empirical methods in natural language processing, pp. 79--86, 2002
  
• - "A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts", B. Pang und L. Lee, Proceedings of the ACL, pp. 271--278, 2004
• - "Comparative experiments on sentiment classification for online product reviews", H. Cui et al., Proceedings of the National Conference of Artificial Intelligence, 2006
  

5. Aufbau von Sentiment Lexika (Sinikka Schröter)

Advisor: Jürgen Broß
keywords: classification, wordnet
starting point:

• - "SENTIWORDNET: A publicly available lexical resource for opinion mining", A. Esuli und F.  Sebastiani, In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC’06), pp. 417--422, 2006
• - "Building lexicon for sentiment analysis from massive collection of HTML documents", N. Kaji und M. Kitsuregawa, Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 1075--1083, 2007
• - "Large-Scale Sentiment Analysis for News and Blogs", N. Godbole et al., Proceedings of International Conference on Weblogs and Social Media (ICWSM), 2007
  

6. Sentiment Retrieval (Frederik Kühn)

Advisor: Jürgen Broß
keywords: information retrieval, machine learning
starting point:

• - "On the TREC blog track", I. Ounis et al., Proceedings of the International Conference on Weblogs and Social Media (ICWSM), 2008
• - "Overview of the TREC 2007 blog track", I. Ounis et al., Proceedings of TREC 2007, 2007
• - "An effective statistical approach to blog post opinion retrieval", C. Macdonald et al., CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, 2008
• - Trec 2008 Proceedings: http://trec.nist.gov/pubs/trec17/t17_proceedings.html

7. Erkennung vergleichender Sätze zur Sentiment Analyse  (Manuel Schwabe)

Advisor: Jürgen Broß
starting point:

• - "Identifying comparative sentences in text documents", B. Liu et al., SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006
• - "Mining comparative sentences and relations", B. Liu et al., Proceedings of the National Conference on Artificial Intelligence, 2006

8. Erkennung von Varianten der Negation in Texten (Daniel Kränkle)

    --> Die Wahl dieses Thema beinhaltet einen Implementierungsaspekt. Als Ausgleich dazu wird nur eine kurze Ausarbeitung (6 Seiten) verlangt.

Advisor: Jürgen Broß
starting point:

• - "Negation, contrast and contradiction in text processing", A. Hickl et al., Proceedings of the National Conference on Artificial Intelligence, 2006
• - "A simple algorithm for identifying negated findings and diseases in discharge summaries", Journal of biomedical informatics, 2001

9. Opinion Spam Analysis (Bernd Wiebach)

Advisor: Jürgen Broß
keywords: opinion spam, spam detection
starting point:

• - "Opinion spam and analysis", B. Liu et al., WSDM '08: Proceedings of the international conference on Web search and web data mining, 2008
• - "Analyzing and Detecting Review Spam", B. Liu et al., ICDM 2007. Seventh IEEE International Conference on Data Mining, 2007

10. Opinion Expression and Opinion Source Detection (Till Stolzenhain)

Advisor: Jürgen Broß
keywords: sequence tagging, conditional random field
starting point: 

• - "Joint extraction of entities and relations for opinion recognition", Breck et al., Proc. EMNLP, 2006
  
• - "Identifying sources of opinions with conditional random fields and extraction patterns", Cardie et al., Proceedings of EMNLP, 2005
  
• - "Identifying expressions of opinion in context", Breck et al., Twentieth International Joint Conference on Artificial Intelligence (IJCAI), 2007
  

11. Marktüberblick vorhander Werkzeuge zur Sentiment Analyse (Paul Spieker)

Advisor: Jürgen Broß
starting point:

• - Google
• - Alias-I: Listung von Wettbewerbern
  

12. Extraktion semantischer Relationen aus Texten (Serdar Tosun)

Advisor: Jürgen Broß
starting point:

• - "The Tradeoffs Between Open and Traditional Relation Extraction", M. Banko and O. Etzioni, Proceedings of the ACL, 2008
• - "Yago: a core of semantic knowledge", F. Suchanek et al., Proceedings of the 16th international conference on World Wide Web, 2007
• - "Information Extraction from Wikipedia: Moving Down the Long Tail", F. Wei and R. Hoffmann, Proceedings of the 14th ACM SigKDD International Conference on Knowledge Discovery and Data Mining (KDD-08), Las Vegas, NV, 2008

13. Extraktion semantischer Relationen aus Texten (Stefanie Schultze)

Advisor: Jürgen Broß
starting point:
- F. M. Suchanek, M. Sozio, and G. Weikum, "Sofie: A self-organizing framework for information extraction" In Proceedings of the International World Wide Web Conference WWW, 2009.