sentiment-annotated lexicon construction for an urdu ... - Paas.com.pk

Pakistan Journal of Science (Vol. 63 No. 4 Dec, 2011)
Table 2. Results of experimentation on both corpora
Category Corpora Accuracy
Negative
MR 66%
PR 77%
Positive
MR 74%
PR 79%
Conclusions This research work presents, the structure,
development and integration of a sentiment-annotated
lexicon, developed as a component of an Urdu text based
sentiment analysis system. Urdu is a morphologically
rich language, and hence, poses many challenges for the
development of such a lexicon. Moreover, due to
unavailability of electronic text and corpuses of
opinionated reviews, our task becomes even more time
consuming. The next step after the development of the
lexicon is its integration with the sentiment classifier and
final implementation of the complete system. There are
two types of corpuses, which are used for testing, i.e.,
movie and product reviews. Despite of the inherent
complexities of the language, the experimentation gives
excellent results with an accuracy of about (74%).
Therefore, it is planned to extend this lexicon on the same
structure but with larger coverage of words.
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