Vader lexicon and support vector machine algorithm to detect customer sentiment orientation

• Main Authors: Vivine Nurcahyawati, ., Zuriani, Mustaffa
• Format: Article
• Language: English
• Published: Universitas Airlangga 2023
• Subjects: HF Commerce; QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/37968/1/Vader%20Lexicon%20and%20Support%20Vector%20Machine%20Algorithm.pdf; http://umpir.ump.edu.my/id/eprint/37968/; https://doi.org/10.20473/jisebi.9.1.108-118; https://doi.org/10.20473/jisebi.9.1.108-118

Background: The concept of customer orientation, which is based on a set of fundamental beliefs that prioritize the interests of the customer, requires companies to detect these interests in order to maintain a high level of quality in their products or services. Furthermore, there are several indic...