• Corpus ID: 237142369

An NLP approach to quantify dynamic salience of predefined topics in a text corpus

  title={An NLP approach to quantify dynamic salience of predefined topics in a text corpus},
  author={Alexander Asp Bock and Anthony Palladino and Skaidra Smith-Heisters and Ian Boardman and Ester Pellegrini and Elisa Jayne Bienenstock and Andrew Valenti},
The proliferation of news media available online simultaneously presents a valuable resource and significant challenge to analysts aiming to profile and understand social and cultural trends in a geographic location of interest. While an abundance of news reports documenting significant events, trends, and responses provides a more democratized picture of the social characteristics of a location, making sense of an entire corpus to extract significant trends is a steep challenge for any one… 

Figures and Tables from this paper



Termite: visualization techniques for assessing textual topic models

A novel saliency measure for selecting relevant terms and a seriation algorithm that both reveals clustering structure and promotes the legibility of related terms are contributed to Termite, a visual analysis tool for assessing topic model quality.

Semantic N-Gram Topic Modeling

In this experiment the proposed semantic N-Gram topic modeling is compared with collocation Latent Dirichlet allocation and most appropriate state of the art topic modeling technique latent Dirichlets allocation (LDA).

Latent Dirichlet Allocation

Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques

A fake news detection model that use n-gram analysis and machine learning techniques is proposed, which investigates and compares two different features extraction techniques and six different machine classification techniques.

Big open-source social science: capabilities and methodology for automating social science analytics

Big Open-Source Social Science (BOSSS), a research and development project that leverages the strengths of social- and computer-science technology to address the operational need for rapid and reliable human-landscape situational-awareness, is presented.

Representability of METT-TC Factors in JC3IEDM

In this paper, aspects of METT-TC that are not currently or not completely representable in JC3IEDM are pointed out and ways in which JC2IEDM can be extended to represent them are suggested.

EAI Endorsed Transactions on Scalable Information Systems

Prof. Xiaohua Jia has authored over 200 research papers in the area of distributed systems, computer networks, and information systems and chairs many international conferences and workshops.

Department of the Army: Stability Operations FM3-07

  • 2008

Chapter 5: DIME/PMESII Models.

  • Conflict and Complexity
  • 2015