Abstract

In recent years, South-Asian literature in English has experienced a surge of newfound love and popularity both in the local and the global market. In this regard, Arundhati Roy's The God of Small Things (1997) has garnered an astounding mix of positive and negative reactions from readers across the globe. This chapter adopts an artificial intelligence approach to analyse netizen readers' feedback on the novel as documented in the book cataloguing website Goodreads. To this end, an opinion mining framework is proposed based on artificial intelligence techniques such as topic modelling and sentiment analysis. Latent semantic analysis (LSA) and latent Dirichlet allocation (LDA) are applied and compared to find the abstract “topics” that occur in a collection of reviews. Furthermore, lexicon-based sentiment analysis approaches such as Vader and Textblob algorithms are used and compared to find the review sentiment polarities.

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