activity
20162022
most citedScalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)

8 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR2022

Proactive Query Expansion for Streaming Data Using External Source

Farah Alshanik, Amy Apon, Yuheng Du +2

Query expansion is the process of reformulating the original query by adding relevant words. Choosing which terms to add in order to improve the performance of the query expansion…

cs.IR2020

Accelerating Text Mining Using Domain-Specific Stop Word Lists

Farah Alshanik, Amy Apon, Alexander Herzog +2

Text preprocessing is an essential step in text mining. Removing words that can negatively impact the quality of prediction algorithms or are not informative enough is a crucial st…

cs.IR2018

Are Abstracts Enough for Hypothesis Generation?

Justin Sybrandt, Angelo Carrabba, Alexander Herzog +1

The potential for automatic hypothesis generation (HG) systems to improve research productivity keeps pace with the growing set of publicly available scientific information. But as…

cs.SI2016★ 1 cited

Detecting and Summarizing Emergent Events in Microblogs and Social Media Streams by Dynamic Centralities

Neela Avudaiappan, Alexander Herzog, Sneha Kadam +3

Methods for detecting and summarizing emergent keywords have been extensively studied since social media and microblogging activities have started to play an important role in data…

cs.IR2016★ 8 cited

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)

Chris Gropp, Alexander Herzog, Ilya Safro +2

Topic modeling, a method for extracting the underlying themes from a collection of documents, is an increasingly important component of the design of intelligent systems enabling t…