Lexicon-based Sentiment Analysis with Pattern Matching Application using Regular Expression in Automata
Proceedings of the 6th International Conference on Information Technology: IoT and Smart City
(2018), pp. 31-36
Jennifer O. Contreras
a,b
,
Melvin A. Ballera
c
,
Ace C. Lagman
d,c
,
Jennalyn G. Raviz
c
a Technological Institute of the Philippines
b FEU Institute of Technology, Manila, Philippines
c Technological Institute of the Philippines, Manila, Philippines
d FEU Institute of Technology
Abstract: Nowadays, a lot of Filipinos are keen into traveling locally and abroad that encourages different airline companies to enhance their services to gain more clients. In this study, we extracted Twitter tweets about the three major airlines in the country today, Cebu Pacific, Air Asia, and Philippine Airlines. Various models, techniques and classifiers were introduced in computing the sentiment scores of the Tweets gathered which is useful to different fields like education and businesses. This study aims to apply a new approach in implementing sentiment analysis task thru pattern matching using a regular expression and implementing lexicon-based scoring of sentiments. Its main purpose is to assign the correct polarity to get the sentiments of the Filipino travelers.