topic:emotion classification of restaurant review dataset
6 pages(not include work cited)
Need to do the PPT also(more than 25 pages) for presentation more than 20 mins
Based on this paper, talked about how classify customs comments about restaurant, in order to make conclusion about whether the restaurant is good or not. Firstly, I have 5 predictor for comments include(food, service,price,ambience, anecdotes/miscellaneous) , 4 emotion for comments include(positive, negative, neutral,conflict,) and also need algorithm classify comments combine naivebayes and knn. The aim is when the new comment comes to the model, the model can put the comment into the right predictor and make a conclusion which restaurant feature is (positive negative neutral conflict).