2019 5th International Conference on Web Research (ICWR)最新文献_第4页

A Supervised Framework for Review Spam Detection in the Persian Language 波斯语评论垃圾邮件检测的监督框架

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765275

Mohammad Ehsan Basiri, Neshat Safarian, Hadi Khosravi Farsani

{"title":"A Supervised Framework for Review Spam Detection in the Persian Language","authors":"Mohammad Ehsan Basiri, Neshat Safarian, Hadi Khosravi Farsani","doi":"10.1109/ICWR.2019.8765275","DOIUrl":"https://doi.org/10.1109/ICWR.2019.8765275","url":null,"abstract":"Sentiment analysis of online reviews has attracted an increasing attention from both academia and industry. Although online reviews are valuable sources of information for detecting public opinion towards different aspects of products, they may be written by spammers with different purposes. In order to detect such spam reviews, several methods have been proposed for English language but no study has been reported on Persian spam detection so far. In the current study, Persian reviews of cell-phones are investigated to find spam type 1 and type 2 which are fake reviews and reviews only written about brands, respectively. In the proposed framework a labeled dataset, SpamPer, is first created using a majority voting on the answers of 11 questions previously designed for spam detection by human annotators. Then several preprocessing steps for Persian language are performed to refine the training data. Finally review-based and metadata features are extracted. The obtained results on 3000 reviews of SpamPer shows that the highest accuracy is obtained using the decision tree with 0.78 F1-measure. Moreover, the results reveal that SVM for unbalanced data and decision tree for balanced data achieve better performance when they are trained on the combination of metadata and review-based features.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"47 1","pages":"203-207"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84532437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

ELTS: A Brief Review for Extractive Learning-Based Text Summarizatoin Algorithms 基于抽取学习的文本摘要算法综述

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765294

M. Keyvanpour, Mehrnoush Barani Shirzad, Haniyeh Rashidghalam

引用次数: 2

Extractive Persian Summarizer for News Websites 新闻网站的波斯语摘要摘要

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765279

F. Kermani, Shirin Ghanbari

引用次数: 1

SPGD_HIN: Spammer Group Detection based on Heterogeneous Information Network SPGD_HIN:基于异构信息网络的垃圾邮件组检测

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765274

Alireza Bitarafan, Chitra Dadkhah

{"title":"SPGD_HIN: Spammer Group Detection based on Heterogeneous Information Network","authors":"Alireza Bitarafan, Chitra Dadkhah","doi":"10.1109/ICWR.2019.8765274","DOIUrl":"https://doi.org/10.1109/ICWR.2019.8765274","url":null,"abstract":"Online stores and e-commerce platforms have become increasingly popular in recent years, and a reasonable approach to compare the available products is to use comments or feedbacks written by other online users for each product. Therefore, these platforms can be a great opportunity for spammers to promote or demote their target products with fake reviews. So far, there is plenty of studies done with the purpose of distinguishing spam reviews or spammers from genuine ones, but it should not be neglected that often spammers work in collusion with each other to control the rating score of a product more naturally. Hence, this article focuses on the latter aspect i.e., review spammer group detection. In most of the previous works, Frequent Item set Mining (FIM) is applied in the early stage to find candidate groups and then an unsupervised ranking procedure is done based on some predefined features. Although, FIM methods mostly suffer from threshold setting, i.e., using low support values causes inefficiency and high support values ignore some useful patterns. Furthermore, instead of unsupervised methods, semi-supervised ones which don’t need many labeled data, can improve the accuracy of detection greatly. In this article, we tackle the above-mentioned challenges taking advantage of some labeled instances in a Heterogeneous Information Network (HIN). Using a HIN can preserve the semantics between different kinds of nodes in the network. Also, we extract candidate groups using spammer behaviors and their relations which makes it a robust approach when spammers decide to be more intelligent. Experiments on a real-life Yelp dataset show the efficiency of our approach.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"126 1","pages":"228-233"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76704767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Challenges Classification of Software Requirements Interaction Management Using Search-Based Methods 挑战使用基于搜索的方法进行软件需求交互管理的分类

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765253

Elham Sodagari, M. Keyvanpour

引用次数: 2

Introspective Agents in Opinion Formation Modeling to Predict Social Market 意见形成模型中的内省主体预测社会市场

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765268

Sajjad Salehi, F. Taghiyareh

引用次数: 4

Understanding IoT Platforms : Towards a comprehensive definition and main characteristic description 理解物联网平台:走向一个全面的定义和主要特征描述

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765259

M. Asemani, Fatemeh Abdollahei, Fatemeh Jabbari

{"title":"Understanding IoT Platforms : Towards a comprehensive definition and main characteristic description","authors":"M. Asemani, Fatemeh Abdollahei, Fatemeh Jabbari","doi":"10.1109/ICWR.2019.8765259","DOIUrl":"https://doi.org/10.1109/ICWR.2019.8765259","url":null,"abstract":"Internet of things (IoT) offers some advanced vertical services through data capture and processing. To provide the services to the end user, some other services such as data analytics, device management, and connection management should be delivered in the IoT ecosystem. IoT platform is the element, which delivers the central process and management, and the vertical services to the end users, by providing some tools, and computation for device management and data lifecycle management (from sensors networks to the end users). Although there are lots of IoT platform products in the market, there is not any unique, precise, or standard definition with the detailed description of IoT platform, which includes various definitions and functionalities of IoT platform from scientific and market perspective, on both cloud and fog computing resources. In this paper, a novel, comprehensive definition for IoT platform and its attributes in Cloud and Fog layer is proposed, which is extracted from scientific definitions in academic papers, the definition, and features for commercial products provided by IoT leader companies, as well as the description of IoT platform in some open source projects.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"28 1","pages":"172-177"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82052735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Concept-Aware Web Image Compression Based on Crowdsourced Salient Object Detection 基于众包显著目标检测的概念感知Web图像压缩

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765247

Morteza Moradi, Farhad Bayat, M. Charmi

{"title":"Concept-Aware Web Image Compression Based on Crowdsourced Salient Object Detection","authors":"Morteza Moradi, Farhad Bayat, M. Charmi","doi":"10.1109/ICWR.2019.8765247","DOIUrl":"https://doi.org/10.1109/ICWR.2019.8765247","url":null,"abstract":"Reduced output quality and being unaware of content are among major issues with traditional image compression techniques. Such issues cause some critical problems when it comes to quality-intensive applications, including object/face detection and recognition, Web-based image viewers and management systems, etc. On the other side, efficiency of Web-based image search engines and retrieval systems in terms of user experience and usability could be affected. In order to cope with these challenges, a novel image compression method is proposed that takes advantages of collective human cognitive intelligence to detect the salient object(s) based on the recognized key concept(s). Then, other less-important regions/objects will be subject to the safe compression. Such an approach, besides preserving semantic aspects of the images that will result in smart (concept-aware) compression, could provide some crowdsourced labels for more efficient indexing and annotating of images. In this regard, two birds could be beaten with one stone: compressing Web images with respect to their content/concept and annotating them with crowd-suggested labels. The experimental results as well as user acceptance evaluation proved the efficacy of the introduced method.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"36 1","pages":"221-227"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86718777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Ambiance Signal Processing: A Study on Collaborative Affective Computing 环境信号处理:协同情感计算研究

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765251

Kaveh Bakhtiyari, M. Taghavi, Milad Taghavi, J. Bentahar

{"title":"Ambiance Signal Processing: A Study on Collaborative Affective Computing","authors":"Kaveh Bakhtiyari, M. Taghavi, Milad Taghavi, J. Bentahar","doi":"10.1109/ICWR.2019.8765251","DOIUrl":"https://doi.org/10.1109/ICWR.2019.8765251","url":null,"abstract":"Computational feature recognition is an essential component for intelligent systems to sense the objects and environments. This paper proposes a novel conceptual model, named Ambiance Signal Processing (AmSiP), to identify objects’ features when they are not directly accessible by sensors. AmSiP analyzes the surrounding and ambiance of objects/subjects collaboratively to recognize the object’s features instead of concentrating on each individual and accessible object. To validate the proposed model, this study runs an experiment with 50 participants, whose emotional state variations are estimated by measuring the surroundings features and the emotions of other people in the same environment. The results of a t-Test on the data collected from this experiment showed that users’ emotions were being changed in a course of time during the experiment; however, AmSiP could estimate subjects’ emotions reliably according to the environmental characteristics and similar patterns. To evaluate the reliability and efficiency of this model, a collaborative affective computing system was implemented using keyboard keystroke dynamics and mouse interactions of the users whose emotions were affected by different types of music. In comparison with other conventional techniques (explicit access), the prediction was reliable. Although the developed model sacrifices a minor accuracy, it earns the superiority of uncovering blind knowledge about the subjects out of the sensors’ direct access.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"11 1","pages":"35-40"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85341351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Deep Learning Approach for Extracting Polarity from Customers’ Reviews 从客户评论中提取极性的深度学习方法

2019 5th International Conference on Web Research (ICWR) Pub Date : 2019-04-01 DOI: 10.1109/ICWR.2019.8765282

Mitra Bavakhani, Alireza Yari, A. Sharifi

引用次数: 1