Abstract :
The work is carried on opinion mining for McDonald’s services using machine learning. The people’s
interest to provide the feedback and review has been uptrend in this modern world. Based on the opinions and reviews
inputted by the people, the sentiment classifier classifies the emotion and polarity levels of the review. The opinion
mining results helps to make the better decision. For this purpose the opinion of McDonald’s reviews extracted from
Twitter API and TripAdvisor API. For the classification of sentiment purpose the Naïve Bayes, SVM and Decision
Tree algorithm are utilised. With the help of these algorithms the polarity levels of the opinion are classified as
positive, negative and neutral. In addition the Reverse Geocoding algorithm and Google map API mechanism are
employed such that it benefits the user to find the best and nearest McDonald’s branch that will display based on the
results of opinion mining polarity results.
Keyword :
Opinion Mining, Machine Learning, Naive Bayes, SVM, Reverse Geocoding, Google Map API, Sentiment Classification, polarity, sentiment.