Boost Phrase-level Polarity Labelling with Review-level Sentiment ClassificationPart of this work was supported by Natural Science Foundation (60903107, 61073071) and National High Technology Research and Development (863) Program (2011AA01A205) of China, and the third author is sponsored by the National Science Foundation (IIS-0713111). The opinions, findings, suggestions or conclusions expressed in this paper are the authors’, and do not necessarily reflect those of the sponsors.This paper is an extended version of the work Do users rate or review? boost phrase-level sentiment labeling with review-level sentiment classification in SIGIR’14.
Table 4: Performance of sentiment polarity labelling using different methods on the MP3 player dataset (English) and restaurant review dataset (Chinese).
['[EMPTY]', 'Precision', 'Recall', 'F-measure']
λ2=λ3= λ4=1 in this set of experiment. We did not perform the "Subaspect" method on mp3 player reviews as the sub-aspect ratings are absent on this dataset.