Opinion Mining on Culinary Food Customer Satisfaction Using Naïve Bayes Based-on Hybrid Feature Selection

@inproceedings{Somantri2019OpinionMO,
  title={Opinion Mining on Culinary Food Customer Satisfaction Using Na{\"i}ve Bayes Based-on Hybrid Feature Selection},
  author={Oman Somantri and Dyah Apriliani},
  year={2019}
}
Received Nov 26, 2018 Revised Jan 21, 2019 Accepted Mar 1, 2019 Conducting an assessment of consumer sentiments taken from social media in assessing a culinary food gives useful information for everyone who wants to get this information especially for migrants and tourists, in th other hand that information is very valuable for food stall and restaurant owners as information in improvinf food quality. Overcoming this problem, a sentiment analysis classification model using naïve bayes algorithm… CONTINUE READING

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