Sentiment Analysis, Basic Tasks of
Table 1: F-measure by different models for classifying sentences in a document as Subjective and Objective in MPQA and MR dataset.
['Dataset', 'NBSVM', 'CNN-MC', 'SWSD', 'UWSD', 'BCDBN']
A comparison is done with classifying the time series data using baseline classifiers such as Naive Bayes SVM (NBSVM) Almost 10% improvement is observed over NBSVM on the movie review dataset. In addition, we only consider word vectors of 30 features instead of the 300 features used by CNN-MC and hence are 10 times faster.