Rating Of Indonesian sinetron based on public opinion in Twitter using Cosine similarity

Vincentius Riandaru Prasetyo, E. Winarko
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引用次数: 11

Abstract

Sinetron is a frequently watched television program in Indonesia. However, there are many sinetron featuring scenes that are not suitable for a certain age group viewers. Viewers who feel disappointed with some sinetron often express their opinion on social media, especially twitter. This research aimed to categorize sinetron into the age groups: A (Children), R (Teen), or D (Adults) based on the results of similarity calculation between tweets and chapters of Indonesian Broadcasting Commision regulations, or called P3&SPS KPI 2012. The calculation of similarity is done by combining Cosine similarity method with Term Frequency (TF) and Term Frequency-Inverse Document Frequency (TF-IDF). The results of experiments showed that the combination of Cosine similarity and TF-IDF gives better accuracy than the combination of Cosine similarity and Term Frequency. In addition, the results of sinetron categorization based on people opinions posted in Twitter in many cases are not match with the result of categorization established by Indonesian Broadcasting Commision (KPI).
利用余弦相似度对Twitter上的民意对印尼sininetron进行评级
sininetron是印尼最受欢迎的电视节目。但是,也有很多不适合特定年龄层观众的场景。对某些镜头感到失望的观众经常在社交媒体上表达自己的观点,尤其是推特。本研究旨在根据推文与印度尼西亚广播委员会法规章节之间的相似度计算结果,或称为P3&SPS KPI 2012,将sininetron分为A(儿童),R(青少年)或D(成人)年龄组。将余弦相似度法与词频(TF)和词频-逆文档频率(TF- idf)相结合来计算相似度。实验结果表明,余弦相似度和TF-IDF相结合比余弦相似度和Term Frequency相结合具有更好的准确率。此外,在Twitter上发布的基于人们意见的sininetron分类结果在很多情况下与印度尼西亚广播委员会(KPI)建立的分类结果不匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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