1 / 7

Multiclass Sentiment Analysis with Restaurant Reviews

Multiclass Sentiment Analysis with Restaurant Reviews. Moontae Lee and Patrick Grafe. OpenTable.com Data Set. Overall Rating (1 to 5 stars) Food Rating (1 to 5 stars) Ambiance Rating (1 to 5 stars) Service Rating (1 to 5 stars) Noise Rating (1 to 3) Data Set statistics

maik
Télécharger la présentation

Multiclass Sentiment Analysis with Restaurant Reviews

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Multiclass Sentiment Analysis with Restaurant Reviews Moontae Lee and Patrick Grafe

  2. OpenTable.com Data Set • Overall Rating (1 to 5 stars) • Food Rating (1 to 5 stars) • Ambiance Rating (1 to 5 stars) • Service Rating (1 to 5 stars) • Noise Rating (1 to 3) • Data Set statistics • Heavily biased toward 5 star ratings

  3. Strategies • Spell Correction • POS Tagging • Unigram/Bigram/Trigram • Stop Words • Pruning

  4. Spell Correction Common Spelling Mistakes: • Restaurant: resturant, restuarant, restaurante • Waiter: waitor • Service: sevice, serivce Distance Metrics: • Edit Distance • Levenstein Distance • Keyboard Distance • Sound Distance

  5. Parsing Problem Sentences: • The atmosphere is pretty bad and food is quite good • The food, service, and atmosphere were fantastic!

  6. Results

  7. Conclusions • Inherently Difficult Data Set • More Advanced Techniques Necessary

More Related