An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis
Table 2: Datasets Table
['Datasets', 'Number of samples Positive', 'Number of samples Negative', 'Sources']
For evaluation, usually, when using machine learning algorithms, an experimental dataset is divided into training and testing portions. In ACACCE, the entire dataset is used for evaluation because it is an unsupervised method. The positive/negative labels that are attached to each document are used to construct a confusion matrix. The across domain performance of ACACCE is evaluated by collecting and experimenting on two datasets which are Australian Airlines and HomeBuilders reviews datasets.