Filters








14,013 Hits in 2.3 sec

Opinion spam and analysis

Nitin Jindal, Bing Liu
2008 Proceedings of the international conference on Web search and web data mining - WSDM '08  
Based on the analysis of 5.8 million reviews and 2.14 million reviewers from amazon.com, we show that opinion spam in reviews is widespread.  ...  We will see that opinion spam is quite different from Web spam and email spam, and thus requires different detection techniques.  ...  ACKNOWLEDGEMENTS We would like to thank Microsoft Corporation for funding this research and Ling Bao for many helpful discussions.  ... 
doi:10.1145/1341531.1341560 dblp:conf/wsdm/JindalL08 fatcat:vlhw3q2pabaenlooefz3ol2hlm

Opinion Analysis on Twitter Data and Detecting Spam Tweets

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In this project we used an improvised opinion analysis which includes spam recognition.  ...  Opinion analysis is utilized as a part of different fields to reach to a last reaction. For the most part different internet business sites utilize this analysis to enhance their organizations.  ...  Finally, we find the number of spammed tweets and figure the spam percentage. Then we get an upgraded analysis of opinions which includes removal of spammed tweets.  ... 
doi:10.35940/ijitee.b6818.129219 fatcat:lirzsnpsgvevfmin5dmahi5rmq

Linguistic Models of Deceptive Opinion Spam

Myle Ott
2014 Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
Linguistic Models of Deceptive Opinion Spam Myle Ott Facebook myleott@gmail.com Abstract of the talk Consumers increasingly inform their purchase decisions with opinions and other information found on  ...  e.g., crowdsourced vs. employee-written deceptive opinion spam).  ... 
doi:10.3115/v1/w14-2606 dblp:conf/wassa/Ott14 fatcat:vvgllkmecfa37orm2ncpnlu3ei

Deep Semantic Frame-Based Deceptive Opinion Spam Analysis

Seongsoon Kim, Hyeokyoon Chang, Seongwoon Lee, Minhwan Yu, Jaewoo Kang
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
Existing work on opinion spam detection focuses mainly on linguistic features such as n-grams, syntactic patterns, or LIWC. However, deep semantic analysis remains largely unstudied.  ...  In this paper, we propose a frame-based deep semantic analysis method for understanding rich characteristics of deceptive and truthful opinions written by various types of individuals including crowdsourcing  ...  Dataset AMT and Employee Dataset Gathering quality and reliable gold-standard deceptive opinion datasets is a challenging task in opinion spam analysis research.  ... 
doi:10.1145/2806416.2806551 dblp:conf/cikm/KimCLYK15 fatcat:mzsq6siduzchno5fgirtfdmxj4

Opinion Mining and Review Spam Detection: Issues and Challenges

Siddu P. Algur, Jyoti G. Biradar
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Therefore, this paper presents a review of literatures that discusses about essentials of spam and review spam and brief conceptualization of opinion review mining from data mining perspective.  ...  Public opinions and experience are valuable information in decision making process.  ...  interest in Spam Analysis and Opinion Mining system.  ... 
doi:10.23956/ijarcsse/v7i1/0170 fatcat:f7bzjtqpczc7xpxg3jr2c4kev4

Towards Detecting Arabic Opinions Polarity on Social Networks

Norma Bataina
2019 Zenodo  
There are several studies focused on enhancing Arabic sentiment analysis but spam detection techniques are still limited.  ...  Opinion mining or sentiment analysis aims to fetch the attributes i.e. words from the opinions to decide the polarity of the users posts and comments in various topics depending on several linguistic techniques  ...  The shared posts and comments need to understand by automatic analysis.  ... 
doi:10.5281/zenodo.3234112 fatcat:nb66cf3luzfsznsngn3v7onqg4

A proposed system for opinion mining using machine learning, NLP and classifiers

Poonam Tanwar, Priyanka Rai
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
The present studies and research are used to analyse and categorize the opinion spamming into three different detection targets opinion spam, spammers, and to find the collusive opinion spammer groups  ...  The paper, carried out an in-depth analysis of Twitter Spam diffusion.  ...  Opinion spam detection-In opinion spam detection the deceptive reviews written by the hoax persons whose intentions are suspicious, we will analysis them.  ... 
doi:10.11591/ijai.v9.i4.pp726-733 fatcat:ww6tbtrfefabjkqaybdcswu7oy

Spam Detection using Sentiment Analysis of Text

Vignesh N
2019 International Journal for Research in Applied Science and Engineering Technology  
still barely detect spam reviews, and none of them show the importance of each extracted feature type.  ...  Identifying these spammers and the spam content is a hot topic of research and although a considerable number of studies have been done recently toward this end, but so far the methodologies put forth  ...  Huang In the past few years, sentiment analysis and opinion mining becomes a popular and important task. These studies all assume that their opinion resources are real and trustful.  ... 
doi:10.22214/ijraset.2019.3413 fatcat:fpu7clgop5b7nmqt6pcaf4y5gi

AN AUTOMATIC FRAMEWORK FOR DOCUMENT SPAM DETECTION USING ENHANCED CONTEXT FEATURE MATCHING

Yenuga Padma
2018 International Journal of Advanced Research in Computer Science  
Positive a purchase of a that opinions viduals and f opinions in mer and is also opinion spams financial gains d individuals damage their iews are and victimize ection can be ith two classes  ...  Jindal and Liu had first attempted the study of spam detection and had given two methods for spam detection based on duplicate detection and spam classification [6] .  ... 
doi:10.26483/ijarcs.v9i1.5473 fatcat:2hs33i3y7fg3dcnosi7prwdacq

Detecting opinion spams through supervised boosting approach

Mohamad Hazim, Nor Badrul Anuar, Mohd Faizal Ab Razak, Nor Aniza Abdullah, Frank Emmert-Streib
2018 PLoS ONE  
Consequently, it becomes really difficult to differentiate between legitimate and fake opinions and this has triggered a new trend of opinion mining which comes with sentiment analysis using Natural Language  ...  This phenomenon raises concerns in the opinion mining domain whose job it is to detect and filter any review spams [8] .  ...  The normal and spam opinions acted as the ground truth for the private dataset. Phase 3 (data analysis) This phase used some data analysis and exploration techniques for the labeled dataset.  ... 
doi:10.1371/journal.pone.0198884 pmid:29889897 pmcid:PMC5995425 fatcat:fbzaea4cvrgq3b2zc3rq5q65g4

Detecting Deceptive Opinion Spam using Linguistics, Behavioral and Statistical Modeling

Arjun Mukherjee
2015 Tutorials  
He is an active researcher in the area of opinion spam, sentiment analysis and Web mining. He is the lead author behind several influential works on opinion spam research.  ...  The socio-economic value of opinions b. Deceptive Opinion Spam and Fraud c. Opinion Spam Types: Individual, Group, Singular, and Campaigns II. Leveraging Linguistic Signals a.  ... 
doi:10.3115/v1/p15-5007 dblp:conf/acl/Mukherjee15 fatcat:a5vgp4kylrekho3eeov3geqthi

Analyzing Sentiments for Generating Opinions (ASGO)-A New Approach

Sapna Zol, Preeti Mulay
2015 Indian Journal of Science and Technology  
To extract the purposeful content from the social web, opinion mining performs an important role. Sentiment analysis is a current topic of research in this present era.  ...  Overall the study interprets the initial results of the undergoing master's thesis work of integrating the sentiment and spam detection in one system.  ...  spam and irrelevant reviews etc.  ... 
doi:10.17485/ijst/2015/v8is4/62327 fatcat:562j5pnpzrfa5i6yonqemnyfmy

Detecting Spam Review through Spammer's Behavior Analysis

Naveed HUSSAIN, Hamid Turab MIRZA, Ibrar HUSSAIN
2019 Advances in Distributed Computing and Artificial Intelligence Journal  
the main source of user opinions.  ...  Online Product Reviews; Spam Reviews; Spam Review Detection; Opinion Spam; Customer Reviews; Spammer Behavioral features Online reviews about the purchase of a product or services provided have become  ...  Hence, detecting spam reviews and opinions are emerging as an important research area. Commercial review hosting sites e.g.  ... 
doi:10.14201/adcaij2019826171 fatcat:cekcgvt3lfdxhlfufwgcksge4q

Recommendation of Distance Education Colleges to Students based on Alumni Feedback

2020 International journal of recent technology and engineering  
Sentiment analysis or opinion mining is used to automatically detect and classify sentiments into positive, negative or neutral opinion on product or service through certain algorithms.  ...  Sentiment Analysis (SA) systems are very common because most people trust it based on the opinions, emotions, attitudes and feelings shared by the users for decision making purposes about the product,  ...  The researchers used many metrics to effectively identify spam and merged with a lot of steps and techniques, providing a major solution to the spam analysis problems.  ... 
doi:10.35940/ijrte.f9511.059120 fatcat:gbex6khkezgn7bin4kyg7lkakm

Learning to Detect Deceptive Opinion Spam: A Survey

Yafeng Ren, Donghong Ji
2019 IEEE Access  
His research interests include sentiment analysis and opinion mining, web mining, and bioinformatics. DONGHONG JI received the B.S., M.S., and Ph.D.  ...  He has been working on deceptive opinion spam detection over the past ten years, and has published ten related papers in journals and conferences, including AAAI, EMNLP, and COLING.  ...  In this paper, we focus on the analysis and discussion about deceptive opinion spam.  ... 
doi:10.1109/access.2019.2908495 fatcat:ni6fut7ruzdw7hjplox456k34y
« Previous Showing results 1 — 15 out of 14,013 results