scholarly journals A Comparative Study of NLP Topic Modeling Methods and Tools

Author(s):  
Dr. Shivkumar Goel,
2015 ◽  
Vol 29 (7) ◽  
pp. 2721-2727 ◽  
Author(s):  
Chang-Ho Lee ◽  
Sup Hong ◽  
Hyung-Woo Kim ◽  
Sung-Soo Kim

2020 ◽  
Author(s):  
Ricardo Garcia, JR ◽  
Michael Ross ◽  
Benjamin Pacini ◽  
Daniel Roettgen

Author(s):  
Johannes Ledolter ◽  
Lea VanderVelde

Abstract The Territorial Papers of the United States are a valuable and underused resource containing almost 10,000 documents written between 1789 and 1848 about the formation of new sovereign states from US territory. These communications between the federal government and frontier settlers comprise the actual discourse of the nation’s expansion over six decades. Digitizing the Territorial Papers permits the possibility of analyzing the entire corpus globally. Text mining and topic modeling methods give us a lens on the language patterns through which new state governments and the expanding nation were formed. An initial statistical analysis of the textual information provides a visualization of content, helps discern how ideals about governance emerged, and lays the foundation for developing more sophisticated hypotheses and theoretical constructs.


2019 ◽  
Vol 7 (2) ◽  
pp. 275-288 ◽  
Author(s):  
Adina Nerghes ◽  
Ju-Sung Lee

The European refugee crisis received heightened attention at the beginning of September 2015, when images of the drowned child, Aylan Kurdi, surfaced across mainstream and social media. While the flows of displaced persons, especially from the Middle East into Europe, had been ongoing until that date, this event and its coverage sparked a media firestorm. Mainstream-media content plays a major role in shaping discourse about events such as the refugee crisis, while social media’s participatory affordances allow for the narratives to be perpetuated, challenged, and injected with new perspectives. In this study, the perspectives and narratives of the refugee crisis from the mainstream news and Twitter—in the days following Aylan’s death—are compared and contrasted. Themes are extracted through topic modeling (LDA) and reveal how news and Twitter converge and also diverge. We show that in the initial stages of a crisis and following the tragic death of Aylan, public discussion on Twitter was highly positive. Unlike the mainstream-media, Twitter offered an alternative and multifaceted narrative, not bound by geo-politics, raising awareness and calling for solidarity and empathy towards those affected. This study demonstrates how mainstream and social media form a new and complementary media space, where narratives are created and transformed.


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