Categorizing E-cigarette-related tweets using BERT topic modeling [PDF]
Background: Social media platforms are critical channels for promoting e-cigarettes, particularly among youth, making analysis of their vast and diverse content essential for public health interventions.
D. Murthy +8 more
doaj +2 more sources
Automated Geoparsing of Paris Street Names in 19th Century Novels [PDF]
Our project involves building a platform able to retrieve, map and analyze the occurrences of place names in fictional novels published between 1800 and 1914 and whose action occurs wholly or partly in Paris. We describe a proof of concept using queries made via the TXM textual analysis platform for the extraction of street names.
Ludovic Moncla +3 more
semanticscholar +3 more sources
Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services [PDF]
Background Tropical medicine appeared as a distinct sub-discipline in the late nineteenth century, during a period of rapid European colonial expansion in Africa and Asia.
Magnus Palmblad, Vetle I. Torvik
doaj +2 more sources
Utilizing Geoparsing for Mapping Natural Hazards in Europe
Natural hazards exert a detrimental influence on human survival, environmental conditions and society. Historical hazard events have generated a broad corpus of literature addressing the spatiotemporal extent, dissemination or social responses.
Tinglei Yu, Xuezhen Zhang, Jun Yin
semanticscholar +2 more sources
Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study [PDF]
Background The global research on pandemics or epidemics and mental health has been growing exponentially recently, which cannot be integrated through traditional systematic review.
Xin Ye, Xinfeng Wang, Hugo Lin
doaj +2 more sources
GeoTxt: A scalable geoparsing system for unstructured text geolocation
In this article we present GeoTxt, a scalable geoparsing system for the recognition and geolocation of place names in unstructured text. GeoTxt offers six named entity recognition (NER) algorithms for place name recognition, and utilizes an enterprise ...
Morteza Karimzadeh +3 more
semanticscholar +2 more sources
Geoparsing History: Locating Commodities in Ten Million Pages of Nineteenth-Century Sources
In the Trading Consequences project, historians, computational linguists, and computer scientists collaborated to develop a text mining system that extracts information from a vast amount of digitized published English-language sources from the “long ...
Beatrice Alex, Andrew Watson
exaly +2 more sources
Basreh or Basra? Geoparsing Historical Locations in the Svoboda Diaries
Geoparsing, the task of assigning coordinates to locations extracted from free text, is invaluable in enabling us to place locations in time and space. In the historical domain, many geop-arsing corpora are from large news collections.
Jolie Zhou, C. Cole, Annie Chen
semanticscholar +3 more sources
Automated placename resolution in text: geoparsing the Gazetteer for Scotland
The majority of textual information currently available on the Internet contains some sort of geographical information. Due to the unstructured nature of this information, compared to both the complexities of human languages and the ambiguity of placenames, the process of identifying them in a text is not a deterministic process.
Tsopanoglou, Paschalis
core +5 more sources
Evolution of research on global amphibian declines. [PDF]
Abstract In the late 1980s, the scientific community became aware of severe, enigmatic amphibian population declines. These declines triggered a wave of research focused on quantifying their extent and identifying key drivers. We used text‐analysis techniques, including topic modeling and geoparsing, to examine the evolution of research focused on ...
Crawford-Ash J +6 more
europepmc +2 more sources

