NDLI logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. Proceedings of the 1st International Workshop on AI for Privacy and Security (PrAISe '16)
  2. Detecting deceptive reviews using Argumentation
Loading...

Please wait, while we are loading the content...

Expressing Receipt-Freeness and Coercion-Resistance in Logics of Strategic Ability: Preliminary Attempt
Strategies for Privacy Negotiation in Online Social Networks
Learning Privacy Rules Cooperatively in Online Social Networks
Using Genetic Algorithms for Design and Reconfiguration of RBAC Schemes
Representing sequences of actions in access control security policies
Using a Deep Understanding of Network Activities for Network Vulnerability Assessment
Defending Cyber-Physical Attacks on Oil Pipeline Systems: A Game-Theoretic Approach
Detecting the Behavioral Relationships of Malware Connections
Detecting deceptive reviews using Argumentation
Data set operations to hide decision tree rules
Secure Multi-Agent Planning
Towards a general record linkage framework for statistical disclosure control
A Genetic Algorithm Approach to Synthetic Data Production

Similar Documents

...
Detecting deceptive reviews using lexical and syntactic features

Article

...
Detecting deceptive reviews using Argument Mining

Article

...
Detecting the spam review using tri-training

Article

...
Detecting Deceptive Reviews using Generative Adversarial Networks

Article

...
Detecting Deceptive Opinion Spam in Online Reviews

Article

...
Deceptive Opinion Detection Using Machine Learning Techniques

Article

...
Detecting bacterial vaginosis using machine learning

Article

...
Detecting worm variants using machine learning

Article

...
Detecting Frauds in Restaurant Reviews

Article

Detecting deceptive reviews using Argumentation

Content Provider ACM Digital Library
Author Cocarascu, Oana Toni, Francesca
Abstract The unstoppable rise of social networks and the web is facing a serious challenge: identifying the truthfulness of online opinions and reviews. In this paper we use Argumentation Frameworks (AFs) extracted from reviews and explore whether the use of these AFs can improve the performance of machine learning techniques in detecting deceptive behaviour, resulting from users lying in order to mislead readers. The AFs represent how arguments from reviews relate to arguments from other reviews as well as to arguments about the goodness of the items being reviewed.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781450343046
DOI 10.1145/2970030.2970031
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-08-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Argumentation Machine learning Deceptive reviews
Content Type Text
Resource Type Article
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
Sl. Authority Responsibilities Communication Details
1 Ministry of Education (GoI),
Department of Higher Education
Sanctioning Authority https://www.education.gov.in/ict-initiatives
2 Indian Institute of Technology Kharagpur Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project https://www.iitkgp.ac.in
3 National Digital Library of India Office, Indian Institute of Technology Kharagpur The administrative and infrastructural headquarters of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
4 Project PI / Joint PI Principal Investigator and Joint Principal Investigators of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
Prof. Saswat Chakrabarti  will be added soon
5 Website/Portal (Helpdesk) Queries regarding NDLI and its services support@ndl.gov.in
6 Contents and Copyright Issues Queries related to content curation and copyright issues content@ndl.gov.in
7 National Digital Library of India Club (NDLI Club) Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach clubsupport@ndl.gov.in
8 Digital Preservation Centre (DPC) Assistance with digitizing and archiving copyright-free printed books dpc@ndl.gov.in
9 IDR Setup or Support Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops idr@ndl.gov.in
I will try my best to help you...
Cite this Content
Loading...