ANEW for Spanish twitter sentiment analysis using instance-based multi-label learning algorithms

Rodrigo Palomino, Carlos Meléndez, David Mauricio, Jorge Valverde-Rebaza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© 2019, Springer Nature Switzerland AG. In the last years, different efforts have been made to extract information that users express through online social networking services, e.g. Twitter. Despite the progress achieved, there are still open gaps to be addressed. Related to the sentiment analysis issue, we stand out the following gaps: (a) low accuracy in sentiment classification task for short texts; and, (b) lack of tools for sentiment analysis in several languages. Aiming to fill these gaps, in this paper we apply the Spanish adaptation of ANEW (Affective Norms for English Words) as resource to improve the Twitter sentiment analysis by applying a variety of multi-label classifiers in a corpus of Spanish tweets collected by us. To the best of our knowledge, this is the first work using a Spanish adaptation of ANEW for sentiment analysis.
Original languageAmerican English
Title of host publicationANEW for Spanish twitter sentiment analysis using instance-based multi-label learning algorithms
Pages46-53
Number of pages8
ISBN (Electronic)9783030116798
DOIs
StatePublished - 1 Jan 2019
Externally publishedYes
EventCommunications in Computer and Information Science -
Duration: 1 Jan 2019 → …

Publication series

NameCommunications in Computer and Information Science
Volume898
ISSN (Print)1865-0929

Conference

ConferenceCommunications in Computer and Information Science
Period1/01/19 → …

Fingerprint Dive into the research topics of 'ANEW for Spanish twitter sentiment analysis using instance-based multi-label learning algorithms'. Together they form a unique fingerprint.

  • Cite this

    Palomino, R., Meléndez, C., Mauricio, D., & Valverde-Rebaza, J. (2019). ANEW for Spanish twitter sentiment analysis using instance-based multi-label learning algorithms. In ANEW for Spanish twitter sentiment analysis using instance-based multi-label learning algorithms (pp. 46-53). (Communications in Computer and Information Science; Vol. 898). https://doi.org/10.1007/978-3-030-11680-4_6