DE eng

Search in the Catalogues and Directories

Hits 1 – 2 of 2

1
A consensus approach to sentiment analysis
Abstract: There are many situations where the opinion of the majority of participants is critical. The scenarios could be multiple, like a number of doctors finding commonality on the diagnosing of an illness or parliament members looking for consensus on a specific law being passed. In this article we present a method that utilises Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion from a number of Sentiment Analysis (SA) classification systems, where the latter occupy the role usually taken by human decision-makers. Previously determined sentence intensity polarity by different SA classification methods are used as input to a specific IOWA operator. During the experimental phase, the use of the IOWA operator coupled with the linguistic quantifier `most' (IOWA_most) proved to yield superior results compared to those achieved when utilising other techniques commonly applied when some sort of averaging is needed, such as arithmetic mean or median techniques.
Keyword: Consensus; Hybrid Sentiment Analysis Method; IOWA operaor; Majority Support; Maximum Entropy; Naïve Bayes; Sentiment Aggregation
URL: https://doi.org/10.1007/978-3-319-60042-0_69
http://hdl.handle.net/2086/13366
BASE
Hide details
2
A consensus approach to the sentiment analysis problem driven by support-based IOWA majority
Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : John Wiley & Sons, Inc., 2017
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
2
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern