Comment analysis for food recipe preferences

Author

Pugsee, Pakawan ; Niyomvanich, Monsinee

Author_Institution

Dept. of Math. & Comput. Sci., Chulalongkorn Univ., Bangkok, Thailand

fYear

2015

Firstpage

1

Lastpage

4

Abstract

Comment Analysis for food recipe preferences is to identify user comments on the food recipes to the positive or the negative comments. The proposed method is suitable for analyzing comments or opinions about food recipes by counting the polarity words of food domain. The benefit of this research is to help users to choose the preferred recipes from different food recipes. To analyze food recipes, the comments of each recipe will be collected and classified to neutral, positive or negative comments. Therefore, the user can gain the information to make a smart decision. The evaluation of the comment analysis shows that the accuracy of neutral and positive classification is about 90%.

Keywords

food products; comment analysis; food recipe preference; neutral classification; polarity word; positive classification; smart decision; Accuracy; Decision making; Semantics; Sentiment analysis; Software; Twitter; User interfaces; Comment Analysis; Food Recipes; Sentiment Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on

Conference_Location

Hua Hin

Type

conf

DOI

10.1109/ECTICon.2015.7207119

Filename

7207119