Classifying the Sentiment of Movie Review Data
Cs N, Cheng-Tao Chu, Ryohei Takahashi, Pei-Chin Wang · 2005
With the rapidly increasing amount of text available on the internet, organizing this vast amount of information has become increasingly important. Many researchers in natural language processing have studied the problem of automatically assigning documents to different categories. One type of categorization that has been studied is classifying the sentiment found in documents. Although many documents, such as movie reviews, already have some measure of sentiment, such as star ratings, many do not, and classifying documents as having positive or negative sentiment automatically would be useful for these unlabelled documents.