R-Opitools – An Opinion Analytical Tool for Big Digital Text Document (DTD)

Since the year 2000, various computational intelligence techniques have been developed for analyzing sentiments of users in field natural language processing (NLP). To date, majority as deployed across fields, including social sciences (Ansari et al., 2020; Nikolovska & Ekblom, Somasundaran Wiebe, 2010) and market research (Al-Otaibi 2018; Feldman 2011), focused largely on detecting subjectivity, and/or extracting classifying opinions a text document. Building this existing work, current paper advances an opinion impact analytical tool, named Opitools, that not only extracts inherent themes from within digital document (DTD), but also evaluates extent to which specified theme may contributed overall expressed by Based advancement, Opitools has wider applications aforementioned application fields. For example, law enforcement, package can be understand factors (themes) drive public perception police services (Adepeju Jimoh, 2021); product marketing, identify underlie customers satisfaction product.