Modeling Online Discourse with Coupled Distributed Topics

09/19/2018
by   Akshay Srivatsan, et al.
0

In this paper, we propose a deep, globally normalized topic model that incorporates structural relationships connecting documents in socially generated corpora, such as online forums. Our model (1) captures discursive interactions along observed reply links in addition to traditional topic information, and (2) incorporates latent distributed representations arranged in a deep architecture, which enables a GPU-based mean-field inference procedure that scales efficiently to large data. We apply our model to a new social media dataset consisting of 13M comments mined from the popular internet forum Reddit, a domain that poses significant challenges to models that do not account for relationships connecting user comments. We evaluate against existing methods across multiple metrics including perplexity and metadata prediction, and qualitatively analyze the learned interaction patterns.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/11/2016

UTCNN: a Deep Learning Model of Stance Classificationon on Social Media Text

Most neural network models for document classification on social media f...
research
09/21/2021

Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model

Moderation of reader comments is a significant problem for online news p...
research
04/06/2021

Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach

Topic models such as the Structural Topic Model (STM) estimate latent to...
research
10/22/2018

Sparsemax and Relaxed Wasserstein for Topic Sparsity

Topic sparsity refers to the observation that individual documents usual...
research
06/23/2021

Recurrent Coupled Topic Modeling over Sequential Documents

The abundant sequential documents such as online archival, social media ...
research
02/06/2020

Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions

Millions of online discussions are generated everyday on social media pl...
research
10/05/2018

Clust-LDA: Joint Model for Text Mining and Author Group Inference

Social media corpora pose unique challenges and opportunities, including...

Please sign up or login with your details

Forgot password? Click here to reset