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Publication . Part of book or chapter of book . 2012

Generating, Refining and Using Sentiment Lexicons

de Rijke, M.; Jijkoun, V.; Laan, F.; Weerkamp, W.; Ackermans, P.; Geleijnse, G.; Spyns, P.; +1 Authors
Open Access
Published: 11 Nov 2012
Publisher: Springer Berlin Heidelberg
Country: Netherlands
Abstract
In order to use a sentiment extraction system for a media analysis problem, a system would have to be able to determine which of the extracted sentiments are relevant, i.e., it would not only have to identify targets of extracted sentiments, but also decide which targets are relevant for the topic at hand.
Subjects by Vocabulary

Microsoft Academic Graph classification: Natural language processing computer.software_genre computer Data mining Engineering business.industry business Artificial intelligence Refining Order (business)

ACM Computing Classification System: InformationSystems_MISCELLANEOUS InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ComputingMethodologies_ARTIFICIALINTELLIGENCE

31 references, page 1 of 4

1. Altheide, D.: Qualitative Media Analysis. Sage, Thousand Oaks (1996) [OpenAIRE]

2. Balog, K., Mishne, G., de Rijke, M.: Why are they excited?: identifying and explaining spikes in blog mood levels. In: EACL '06, Trento, pp. 207-210 (2006) [OpenAIRE]

3. Buxton, B.: Sketching User Experiences: Getting the Design Right and the Right Design. Morgan Kaufmann, San Francisco (2007)

4. Choi, Y., Kim, Y., Myaeng, S.-H.: Domain-specific sentiment analysis using contextual feature generation. In: TSA '09, pp. 37-44. ACM, New York (2009)

5. Fahrni, A., Klenner, M.: Old wine or warm beer: target-specific sentiment analysis of adjectives. In: AISB 2008 Convention, Aberdeen, pp. 60-63 (2008) [OpenAIRE]

6. Godbole, N., Srinivasaiah, M., Skiena, S.: Large-scale sentiment analysis for news and blogs. In: ICWSM '07, Denver (2007)

7. Jijkoun, V., de Rijke, M.: Bootstrapping subjectivity detection. In: SIGIR '11, Beijing (2011) [OpenAIRE]

8. Jijkoun, V., de Rijke, M., Weerkamp, W.: Generating focused topic-specific sentiment lexicons. In: ACL '10, Uppsala (2010a) [OpenAIRE]

9. Jijkoun, V., de Rijke, M., Weerkamp, W., Ackermans, P., Geleijnse, G.: Mining user experiences from online forums: an exploration. In: NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media, Los Angeles (2010b) [OpenAIRE]

10. Kanayama, H., Nasukawa, T.: Fully automatic lexicon expansion for domain-oriented sentiment analysis. In: EMNLP '06, Sydney, pp. 355-363 (2006)

Funded byView all
EC| LIMOSINE
Project
LIMOSINE
Linguistically Motivated Semantic aggregatIon engiNes
  • Funder: European Commission (EC)
  • Project Code: 288024
  • Funding stream: FP7 | SP1 | ICT
,
EC| PROMISE
Project
PROMISE
Participative Research labOratory for Multimedia and Multilingual Information Systems Evaluation
  • Funder: European Commission (EC)
  • Project Code: 258191
  • Funding stream: FP7 | SP1 | ICT
,
NWO| Semantic Search in E-Discovery
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300168486
,
NWO| DutchSemCor: 1 million text corpus for Dutch with sense-tags
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300154091
Related to Research communities
Digital Humanities and Cultural Heritage DH-CH communities : CLARIN
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