Opinion Mining Using Sentiment Analysis: A Case Study of Readers' Response on Long Litt Woon's The Way Through the Woods in Goodreads

In recent years, advancements in computer mediated technologies, such as internet, have greatly impacted disciplines like literary studies. Previous studies have shown that on-line discussion spaces have helped readers across the globe to co-construct their interpretations of a text. The increasing popularity of digital writing has prompted the book industry-that is publishers, book seller and libraries-to take close heed of readers' writings and responses in order to improve book suggestions, offer personalized book recommendations and increase their sales. The purpose of this study is to propose an analytical model to examine the dominant feeling in public's reaction to a text. To achieve this goal, the study focuses on readers' feedback in Goodreads website on Long Litt Woon's memoir The Way Through the Woods: Of Mushrooms and Mourning (2017). To carry out this study, this project uses a text mining technique that employs sentiment analysis using VADER and TextBlob. The results of opinion mining shows 89 positive sentiments, 5 neutral, and 28 negative sentiments using VADER whereas TextBlog results depicts 99, 5, 18 for positive, neutral, and negative sentiments respectively.