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enhanced by explicit feedbacks, are definitely valu-
able and should be taken into account for ranking
opinions. For pragmatic reasons, our experiments in-
cluded news datasets having similar structures. How-
ever, exploring other datasets of different types of en-
tities, of users, and kinds of opinions is worthwhile in
order to show the wide applicability of our model. To
this end, we are planning to assess the effectiveness of
our approach using a dataset crawled from Youtube,
which is more subject to noise. We are currently in-
vestigating these points for further improvements.
ACKNOWLEDGEMENTS
This work was supported by RARE project.
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