Classification of Polarity of Opinions Using Unsupervised Approach in Tourism Domain

2. Related Work

Opinion mining is the way of analyzing opinions, sentiments and emotions of different entities in the online text documents. The analysis of the data using data mining has been reviewed in the paper by (Bhatnagar, 2013), (Acharjee, 2013), (Bhatnagar, 2010) and (Radhwan, 2015). (Li, 2013) shows the method of discovering market intelligence using different tweets as the dataset. The process of classifying the reviews in positive or negative has tempted a lot of researchers. (Tsytsarau, 2012) discusses about the different techniques in opinion mining and a new concept called contradiction analysis is also introduced in the paper. (Turney 2002) pointed out the classification at document level using unsupervised machine learning technique. A statistical approach was followed in which mutual information between different words was calculated.