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Analysis of short texts on the Web: introduction to special issue

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Analysis of short texts on the Web: introduction to special issue

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Rosso, P.; Errecalde, ML.; Pinto Avendaño, D. (2013). Analysis of short texts on the Web: introduction to special issue. Language Resources and Evaluation. 47(1):123-126. https://doi.org/10.1007/s10579-013-9220-9

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/40167

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Title: Analysis of short texts on the Web: introduction to special issue
Author: Rosso, Paolo Errecalde, Marcelo Luis Pinto Avendaño, David
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Analysis of web and social media data is a rapidly growing area of research. Researchers seek to extract a wide variety of information from these texts in order to address specific user needs, profile attitudes and ...[+]
Copyrigths: Cerrado
Source:
Language Resources and Evaluation. (issn: 1574-020X ) (eissn: 1574-0218 )
DOI: 10.1007/s10579-013-9220-9
Publisher:
Springer Netherlands
Publisher version: http://link.springer.com/article/10.1007%2Fs10579-013-9220-9
Project ID:
info:eu-repo/grantAgreement/EC/FP7/269180
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s10579-013-9220-9
Thanks:
This special issue has been an activity of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie People Framework of the European Commission.
Type: Artículo

References

Errecalde, M. L., Ingaramo, D., & Rosso, P. (2008). Proximity estimation and hardness of short-text corpora. In Proceedings of the 2008 19th international conference on database and expert systems application, DEXA ’08 (pp. 15–19).

Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers.

Pinto, D., Rosso, P., & Jiménez-Salazar, H. (2011). A self-enriching methodology for clustering narrow domain short texts. Computer Journal, 54(7), 1148–1165.

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