Aspect-Based Sentiment Words and Their Polarities Using Chi-Square Test.

Most of the user-preferred products on e-commerce websites are accompanied by a massive number of product reviews and manually analyzing each review to understand the features and the user opinions associated with the products is an inconceivable task. A single domain of products can contain thousands of different products and an equally significant number of associated product features/aspects, thereby making the polarity of the sentiment words in the product reviews vary widely according to the aspect with which they are associated. The paper uses the Chi-square aspect-based polarity of sentiment words in a given missing in universal sentiment lexicons.