Arjun Mukherjee

Orcid: 0000-0002-8896-604X

According to our database1, Arjun Mukherjee authored at least 76 papers between 2010 and 2023.

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Bibliography

2023
Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention.
Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

2022
Improving Phishing Detection Via Psychological Trait Scoring.
CoRR, 2022

Deception Detection with Feature-Augmentation by Soft Domain Transfer.
Proceedings of the Social Informatics - 13th International Conference, 2022

COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Leveraging Synthetic Data and PU Learning For Phishing Email Detection.
Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022

Session-based News Recommendation from Temporal User Commenting Dynamics.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Opinion Prediction with User Fingerprinting.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

A Domain-Independent Holistic Approach to Deception Detection.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

On the Usefulness of Personality Traits in Opinion-oriented Tasks.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Claim Verification Using a Multi-GAN Based Model.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Improving Evidence Retrieval with Claim-Evidence Entailment.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Cannot Predict Comment Volume of a News Article before (a few) Users Read It.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Improving Authorship Verification using Linguistic Divergence.
Proceedings of the workshop Reducing Online Misinformation Through Credible Information Retrieval (ROMCIR 2021) co-located with 43rd European Conference on Information Retrieval (ECIR 2021), 2021

On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis.
Proceedings of the workshop Reducing Online Misinformation Through Credible Information Retrieval (ROMCIR 2021) co-located with 43rd European Conference on Information Retrieval (ECIR 2021), 2021

2020
On the dynamics of user engagement in news comment media.
WIREs Data Mining Knowl. Discov., 2020

Towards Demystifying Dimensions of Source Code Embeddings.
CoRR, 2020

Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models.
CoRR, 2020

Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation.
CoRR, 2020

Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack.
CoRR, 2020

Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Predicting Personal Opinion on Future Events with Fingerprints.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Claim Verification under Positive Unlabeled Learning.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Stance Prediction for Contemporary Issues: Data and Experiments.
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019
Pro/Con: Neural Detection of Stance in Argumentative Opinions.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

2018
Aspect opinion expression and rating prediction via LDA-CRF hybrid.
Nat. Lang. Eng., 2018

Experiments with Neural Networks for Small and Large Scale Authorship Verification.
CoRR, 2018

Leveraging Social Media Signals for Record Linkage.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Spam2Vec: Learning Biased Embeddings for Spam Detection in Twitter.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Attending Sentences to detect Satirical Fake News.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018.
Proceedings of the Working Notes of CLEF 2018, 2018

Aspect Specific Opinion Expression Extraction Using Attention Based LSTM-CRF Network.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Product Popularity Modeling Via Time Series Embedding.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Characterizing Product Lifecycle in Online Marketing: Sales, Trust, Revenue, and Competition Modeling.
CoRR, 2017

Bimodal Distribution and Co-Bursting in Review Spam Detection.
Proceedings of the 26th International Conference on World Wide Web, 2017

ENWalk: Learning Network Features for Spam Detection in Twitter.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Detecting Sockpuppets in Deceptive Opinion Spam.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation.
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors.
CoRR, 2016

On the Temporal Dynamics of Opinion Spamming: Case Studies on Yelp.
Proceedings of the 25th International Conference on World Wide Web, 2016

Extracting Aspect Specific Opinion Expressions.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Leveraging Multiple Domains for Sentiment Classification.
Proceedings of the COLING 2016, 2016

Mining the Web for Collocations: IR Models of Term Associations.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

Large Scale Authorship Attribution of Online Reviews.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

Extracting Aspect Specific Sentiment Expressions Implying Negative Opinions.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

Discovering Correspondence of Sentiment Words and Aspects.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

Analysis of Anxious Word Usage on Online Health Forums.
Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016

2015
FLORIN - A System to Support (Near) Real-Time Applications on User Generated Content on Daily News.
Proc. VLDB Endow., 2015

Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Detecting Deceptive Opinion Spam using Linguistics, Behavioral and Statistical Modeling.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Extracting Verb Expressions Implying Negative Opinions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Spotting Fake Reviews using Positive-Unlabeled Learning.
Computación y Sistemas, 2014

Detecting Campaign Promoters on Twitter Using Markov Random Fields.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploiting Social Relations and Sentiment for Stock Prediction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Predicting Interesting Things in Text.
Proceedings of the COLING 2014, 2014

Aspect Extraction with Automated Prior Knowledge Learning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Spotting opinion spammers using behavioral footprints.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Leveraging Multi-Domain Prior Knowledge in Topic Models.
Proceedings of the IJCAI 2013, 2013

What Yelp Fake Review Filter Might Be Doing?
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Exploiting Burstiness in Reviews for Review Spammer Detection.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Exploiting Domain Knowledge in Aspect Extraction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Discovering coherent topics using general knowledge.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Exploiting Topic based Twitter Sentiment for Stock Prediction.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Public Dialogue: Analysis of Tolerance in Online Discussions.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Discovering User Interactions in Ideological Discussions.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Spotting fake reviewer groups in consumer reviews.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Mining contentions from discussions and debates.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Analysis of Linguistic Style Accommodation in Online Debates.
Proceedings of the COLING 2012, 2012

Modeling Review Comments.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Aspect Extraction through Semi-Supervised Modeling.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Detecting group review spam.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
Improving Gender Classification of Blog Authors.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010


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