There are many options of android messaging application which give opportunity to user in order to choose which one as best or famous android messaging application and make it become suitable for them. Usually, people used to look at the information about best or famous android messaging application by texting in search engine such as google and get some link information from user/blogger reviews, and based on that reviews they will make decisions which one as suitable for them. We proposed the other way how to measure the quality of each android messaging application based on user experience which they text in Microblog such as Twitter. The unstructured data in the Microblog will be processed with 2 operators for sentiment analysis method in RapidMiner such as AYLIEN and ROSETTE. AYLIEN sentiment analysis has 3 categories such as positive, negative, and neutral, whilst ROSETTE sentiment analysis has 2 categories such as positive and negative sentiments. Finally, the finding sentiment analysis with these 2 operators will be compared with PlayStore review.
DOI: https://doi.org/10.1109/comcom.2017.8167099
Publish Year: 2017
