چکیده (انگلیسی):

Sentiment analysis or opinion mining refers to the automatic
extraction of sentiments from a natural language text. Although many
studies focusing on sentiment analysis have been conducted, there remains
a limited amount of studies that focus on sentiment analysis in the Malay
language. In this article, a new approach for automatic sentiment analysis of
Malay movie reviews is proposed, implemented and evaluated. In contrast
to most studies that focus on supervised or unsupervised machine learning
approaches, this research aims to propose a new model for Malay sentiment
analysis based on a combination of both approaches. We used sentiment
lexicons in the new model to generate a new set of features to train a k-
Nearest Neighbour (k-NN) classifier. We further illustrated that our hybrid
method outperforms the state of-the-art unigram baseline.