![](bg7.png)
the blackberry fruit, and his opinion will also be
included in the opinion mining results for the brand
Blackberry.
The disambiguation of the terms, including the
concept verification, is a complex task that requires
advanced techniques of natural language processing,
but a simple approach, at least for the first example,
will be to use the tagging system already
incorporated in the NLTK, and identify the keyword
function inside the sentence. Techniques like
(Michelson and Macskassy 2010) that use Wikipedia
as a knowledge base could also be applied.
Finally, for the polarity rating stage, the bag-of-
words approach does not handle the effect of
modifiers (e.g., not) on the expressed idea, neither
the use of complementary sentences that could
influence the polarity of the whole Tweet. Both
effects need to be included in the rating system, in
order to improve its accuracy.
ACKNOWLEDGEMENTS
Work funded by the Spanish Ministry of Economy
and Competitiveness under the National Science
Program (TIN2010-20797 and TEC2013-47665-C4-
3-R); the European Regional Development Fund
(ERDF) and the Galician Regional Government
under agreement for funding the Atlantic Research
Center for Information and Communication
Technologies (AtlantTIC); and the Spanish
Government and the European Regional
Development Fund (ERDF) under project
TACTICA. The authors also thank the PhD
Programme in Information and Communications
Technology from the University of Vigo (Doc_TIC)
for supporting travel expenses of this conference.
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