activity
20172021
most citedDetecting Sockpuppets in Deceptive Opinion Spam

6 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Improving Authorship Verification using Linguistic Divergence

Yifan Zhang, Dainis Boumber, Marjan Hosseinia +2

We propose an unsupervised solution to the Authorship Verification task that utilizes pre-trained deep language models to compute a new metric called DV-Distance. The proposed metr…

cs.CL2020

Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution

Yifan Zhang, Fan Yang, Marjan Hosseinia +1

In this paper, we introduce a new framework called the sentiment-aspect attribution module (SAAM). SAAM works on top of traditional neural networks and is designed to address the p…

cs.CL2020

Stance Prediction for Contemporary Issues: Data and Experiments

Marjan Hosseinia, Eduard Dragut, Arjun Mukherjee

We investigate whether pre-trained bidirectional transformers with sentiment and emotion information improve stance detection in long discussions of contemporary issues. As a part…

cs.CL2018

Experiments with Neural Networks for Small and Large Scale Authorship Verification

Marjan Hosseinia, Arjun Mukherjee

We propose two models for a special case of authorship verification problem. The task is to investigate whether the two documents of a given pair are written by the same author. We…

cs.CL20176 cited

Detecting Sockpuppets in Deceptive Opinion Spam

Marjan Hosseinia, Arjun Mukherjee

This paper explores the problem of sockpuppet detection in deceptive opinion spam using authorship attribution and verification approaches. Two methods are explored. The first is a…