We are constantly improving the accuracy of our opinion mining system, so today it is more accurate than it was yesterday.
We measured how accurately the system classifies the sentences into positive and negative, we took in random 21 positive and 17 negative sentences for 7 mobile phones. We measured separately the accuracy for positive and negative sentences:
It turned out that for positive sentences the accuracy was 71% and for negative it was 82%
It is still difficult to make conclusions on the basis of these results calculated from a relatively small sample. However, we think that these results are promising, since they are somehow similar to the results of some state-of-the-art opinion mining approaches.
