Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === ‘Opinion spamming’ usually refers to the illegal marketing practice which involves delivering commercially advantageous opinions as regular users on review websites. In this research, based on a set of internal records of opinion spams leaked from a shady marke...

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Main Authors: Yu-Ren Chen, 陳譽仁
Other Authors: Hsin-Hsi Chen
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/q36ku8
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spelling ndltd-TW-102NTU053920882019-05-15T21:32:53Z http://ndltd.ncl.edu.tw/handle/q36ku8 Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth 垃圾評論的分析與偵測 - 用流出資訊作為標準答案 Yu-Ren Chen 陳譽仁 碩士 國立臺灣大學 資訊工程學研究所 102 ‘Opinion spamming’ usually refers to the illegal marketing practice which involves delivering commercially advantageous opinions as regular users on review websites. In this research, based on a set of internal records of opinion spams leaked from a shady marketing campaign, we are able to explore the characteristics of opinion spams and spammers to obtain some insights, and then make an attempt to devise features that could be potentially helpful in automatic detection. In the final experiments, we find that our detection model can achieve a decent performance with a set of rather basic features. Hsin-Hsi Chen 陳信希 2014 學位論文 ; thesis 61 en_US
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description 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === ‘Opinion spamming’ usually refers to the illegal marketing practice which involves delivering commercially advantageous opinions as regular users on review websites. In this research, based on a set of internal records of opinion spams leaked from a shady marketing campaign, we are able to explore the characteristics of opinion spams and spammers to obtain some insights, and then make an attempt to devise features that could be potentially helpful in automatic detection. In the final experiments, we find that our detection model can achieve a decent performance with a set of rather basic features.
author2 Hsin-Hsi Chen
author_facet Hsin-Hsi Chen
Yu-Ren Chen
陳譽仁
author Yu-Ren Chen
陳譽仁
spellingShingle Yu-Ren Chen
陳譽仁
Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth
author_sort Yu-Ren Chen
title Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth
title_short Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth
title_full Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth
title_fullStr Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth
title_full_unstemmed Opinion Spam Analysis and Detection - Leaked Confidential Information as Ground Truth
title_sort opinion spam analysis and detection - leaked confidential information as ground truth
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/q36ku8
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