Arjun Mukherjee

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 67

Top Topics

Authorship Attribution

Top Venues

Publications

Zhijia Chen, Lihong He, Arjun Mukherjee, Eduard C. Dragut
Comquest: Large Scale User Comment Crawling and Integration. SIGMOD Conference Companion (2024)
Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. CoRR (2024)
Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. HT (2024)
Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention. CoRR (2023)
Sadat Shahriar, Arjun Mukherjee
Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos. RANLP (2023)
Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention. HT (2023)
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains. RANLP (2023)
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
Deception Detection with Feature-Augmentation by soft Domain Transfer. CoRR (2023)
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
Improving Phishing Detection Via Psychological Trait Scoring. CoRR (2022)
Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
Session-based News Recommendation from Temporal User Commenting Dynamics. ASONAM (2022)
Andrew T. Schneider, Lihong He, Zhijia Chen, Arjun Mukherjee, Eduard C. Dragut
COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings. COLING (2022)
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
Deception Detection with Feature-Augmentation by Soft Domain Transfer. SocInfo (2022)
Fatima Zahra Qachfar, Rakesh M. Verma, Arjun Mukherjee
Leveraging Synthetic Data and PU Learning For Phishing Email Detection. CODASPY (2022)
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
Claim Verification Using a Multi-GAN Based Model. RANLP (2021)
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. ROMCIR@ECIR (2021)
Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee
Opinion Prediction with User Fingerprinting. CoRR (2021)
Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee
Opinion Prediction with User Fingerprinting. RANLP (2021)
Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
Improving Authorship Verification using Linguistic Divergence. ROMCIR@ECIR (2021)
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
Claim Verification using a Multi-GAN based Model. CoRR (2021)
Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
Improving Authorship Verification using Linguistic Divergence. CoRR (2021)
Fan Yang, Eduard C. Dragut, Arjun Mukherjee
Improving Evidence Retrieval with Claim-Evidence Entailment. RANLP (2021)
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
A Domain-Independent Holistic Approach to Deception Detection. RANLP (2021)
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
A Domain-Independent Holistic Approach to Deception Detection. CoRR (2021)
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. ICWSM (2021)
Marjan Hosseinia, Eduard C. Dragut, Dainis Boumber, Arjun Mukherjee
On the Usefulness of Personality Traits in Opinion-oriented Tasks. RANLP (2021)
Fan Yang, Eduard C. Dragut, Arjun Mukherjee
Predicting Personal Opinion on Future Events with Fingerprints. COLING (2020)
Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution. WI/IAT (2020)
Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
On the dynamics of user engagement in news comment media. WIREs Data Mining Knowl. Discov. 10 (1) (2020)
Fan Yang, Eduard C. Dragut, Arjun Mukherjee
Claim Verification under Positive Unlabeled Learning. ASONAM (2020)
Yigeng Zhang, Fan Yang, Yifan Zhang, Eduard C. Dragut, Arjun Mukherjee
Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation. CoRR (2020)
Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour
Towards Demystifying Dimensions of Source Code Embeddings. CoRR (2020)
Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution. CoRR (2020)
Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. CoRR (2020)
Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee
Stance Prediction for Contemporary Issues: Data and Experiments. SocialNLP@ACL (2020)
Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee
Stance Prediction for Contemporary Issues: Data and Experiments. CoRR (2020)
Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali
Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack. CoRR (2020)
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. CoRR (2020)
Abhishek Laddha, Arjun Mukherjee
Aspect Specific Opinion Expression Extraction using Attention based LSTM-CRF Network. CoRR (2019)
Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee
Pro/Con: Neural Detection of Stance in Argumentative Opinions. SBP-BRiMS (2019)
Suman Kalyan Maity, Santosh K. C., Arjun Mukherjee
Spam2Vec: Learning Biased Embeddings for Spam Detection in Twitter. WWW (Companion Volume) (2018)
Sohan De Sarkar, Fan Yang, Arjun Mukherjee
Attending Sentences to detect Satirical Fake News. COLING (2018)
Abhishek Laddha, Arjun Mukherjee
Aspect opinion expression and rating prediction via LDA-CRF hybrid. Nat. Lang. Eng. 24 (4) (2018)
Andrew T. Schneider, Arjun Mukherjee, Eduard C. Dragut
Leveraging Social Media Signals for Record Linkage. WWW (2018)
Abhishek Laddha, Arjun Mukherjee
Aspect Specific Opinion Expression Extraction Using Attention Based LSTM-CRF Network. CICLing (2) (2018)
Santosh K. C., Sohan De Sarkar, Arjun Mukherjee
Product Popularity Modeling Via Time Series Embedding. ASONAM (2018)
Dainis Boumber, Yifan Zhang, Arjun Mukherjee
Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution. LREC (2018)
Marjan Hosseinia, Arjun Mukherjee
A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018. CLEF (Working Notes) (2018)
Marjan Hosseinia, Arjun Mukherjee
Experiments with Neural Networks for Small and Large Scale Authorship Verification. CoRR (2018)
Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali
Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. AsiaCCS (2017)
Fan Yang, Arjun Mukherjee, Eduard Constantin Dragut
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. CoRR (2017)
Fan Yang, Arjun Mukherjee, Eduard Constantin Dragut
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. EMNLP (2017)
Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW (2017)
Yifan Zhang, Arjun Mukherjee, Fan Yang
Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction. CICLing (2) (2017)
Marjan Hosseinia, Arjun Mukherjee
Detecting Sockpuppets in Deceptive Opinion Spam. CoRR (2017)
Santosh K. C., Arjun Mukherjee
Characterizing Product Lifecycle in Online Marketing: Sales, Trust, Revenue, and Competition Modeling. CoRR (2017)
K. C. Santosh, Suman Kalyan Maity, Arjun Mukherjee
ENWalk: Learning Network Features for Spam Detection in Twitter. SBP-BRiMS (2017)
Marjan Hosseinia, Arjun Mukherjee
Detecting Sockpuppets in Deceptive Opinion Spam. CICLing (2) (2017)
K. C. Santosh, Suman Kalyan Maity, Arjun Mukherjee
ENWalk: Learning Network Features for Spam Detection in Twitter. CoRR (2017)
Arjun Mukherjee
Extracting Aspect Specific Sentiment Expressions Implying Negative Opinions. CICLing (2) (2016)
Fan Yang, Arjun Mukherjee, Yifan Zhang
Leveraging Multiple Domains for Sentiment Classification. COLING (2016)
Nicolas Rey-Villamizar, Prasha Shrestha, Farig Sadeque, Steven Bethard, Ted Pedersen, Arjun Mukherjee, Thamar Solorio
Analysis of Anxious Word Usage on Online Health Forums. Louhi@EMNLP (2016)
Rakesh M. Verma, Vasanthi Vuppuluri, An Nguyen, Arjun Mukherjee, Ghita Mammar, Shahryar Baki, Reed Armstrong
Mining the Web for Collocations: IR Models of Term Associations. CICLing (1) (2016)
Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR (2016)
Abhishek Laddha, Arjun Mukherjee
Extracting Aspect Specific Opinion Expressions. EMNLP (2016)
Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu
Discovering Correspondence of Sentiment Words and Aspects. CICLing (2) (2016)
Santosh K. C., Arjun Mukherjee
On the Temporal Dynamics of Opinion Spamming: Case Studies on Yelp. WWW (2016)
Prasha Shrestha, Arjun Mukherjee, Thamar Solorio
Large Scale Authorship Attribution of Online Reviews. CICLing (2) (2016)
Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu
Extracting Verb Expressions Implying Negative Opinions. AAAI (2015)
Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao
Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. ICWSM (2015)
Qingyuan Liu, Eduard C. Dragut, Arjun Mukherjee, Weiyi Meng
FLORIN - A System to Support (Near) Real-Time Applications on User Generated Content on Daily News. Proc. VLDB Endow. 8 (12) (2015)
Arjun Mukherjee
Detecting Deceptive Opinion Spam using Linguistics, Behavioral and Statistical Modeling. ACL (Tutorial Abstracts) (2015)
Huayi Li, Bing Liu, Arjun Mukherjee, Jidong Shao
Spotting Fake Reviews using Positive-Unlabeled Learning. Computación y Sistemas 18 (3) (2014)
Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li
Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP (2014)
Zhiyuan Chen, Arjun Mukherjee, Bing Liu
Aspect Extraction with Automated Prior Knowledge Learning. ACL (1) (2014)
Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery
Detecting Campaign Promoters on Twitter Using Markov Random Fields. ICDM (2014)
Michael Gamon, Arjun Mukherjee, Patrick Pantel
Predicting Interesting Things in Text. COLING (2014)
Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
Exploiting Burstiness in Reviews for Review Spammer Detection. ICWSM (2013)
Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
Leveraging Multi-Domain Prior Knowledge in Topic Models. IJCAI (2013)
Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz
Public Dialogue: Analysis of Tolerance in Online Discussions. ACL (1) (2013)
Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng
Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL (2) (2013)
Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance
What Yelp Fake Review Filter Might Be Doing? ICWSM (2013)
Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
Discovering coherent topics using general knowledge. CIKM (2013)
Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
Spotting opinion spammers using behavioral footprints. KDD (2013)
Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
Exploiting Domain Knowledge in Aspect Extraction. EMNLP (2013)
Arjun Mukherjee, Bing Liu
Discovering User Interactions in Ideological Discussions. ACL (1) (2013)
Arjun Mukherjee, Bing Liu
Aspect Extraction through Semi-Supervised Modeling. ACL (1) (2012)
Arjun Mukherjee, Bing Liu, Natalie S. Glance
Spotting fake reviewer groups in consumer reviews. WWW (2012)
Arjun Mukherjee, Bing Liu
Analysis of Linguistic Style Accommodation in Online Debates. COLING (2012)
Arjun Mukherjee, Bing Liu
Modeling Review Comments. ACL (1) (2012)
Arjun Mukherjee, Bing Liu
Mining contentions from discussions and debates. KDD (2012)
Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal
Detecting group review spam. WWW (Companion Volume) (2011)
Arjun Mukherjee, Bing Liu
Improving Gender Classification of Blog Authors. EMNLP (2010)