Sentiment Analysis in Indonesian on Jakarta Culinary as A Recommender System

Boby Siswanto
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引用次数: 2

Abstract

In text mining, there is a technique to determine whether the opinion statement is positive or negative, namely sentiment analysis. The positive opinion indicates that it can be used as a reference for recommendations. According to a survey conducted by YouGov of the diet habit which correlates with culinary, Jakarta is one of the healthiest cities in the world according to a study conducted by YouGov of diet habit. Diet has a strong correlation with culinary. Culinary is related to food which is one of the basic human needs. Sentiment analysis in this study processes the Jakarta culinary dataset from Twitter using the Sastrawi library to compare Twitter's sentiments on Jakarta's cuisine with the results of the YouGov survey.y. The results obtained are that Jakarta culinary's recommendations are worth looking for and visiting based on this study's 53% positive sentiment. This result follows the YouGov survey on Jakarta city's dietary habits, proving that Jakarta is one of the healthiest cities in the world.
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基于雅加达烹饪推荐系统的印尼语情感分析
在文本挖掘中,有一种技术可以确定观点陈述是积极的还是消极的,即情感分析。积极的意见表明,它可以作为建议的参考。根据YouGov对饮食习惯的调查,雅加达是世界上最健康的城市之一。饮食与烹饪密切相关。烹饪与食物有关,食物是人类的基本需求之一。本研究的情感分析使用savastri库处理来自Twitter的雅加达美食数据集,将Twitter对雅加达美食的情感与YouGov调查的结果进行比较。结果表明,雅加达的烹饪推荐值得寻找和访问,基于53%的积极情绪。这个结果是继YouGov对雅加达城市饮食习惯的调查之后得出的,证明雅加达是世界上最健康的城市之一。
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