Evaluation of clustering and topic modeling methods over health-related tweets and emails

JA Lossio-Ventura, S Gonzales, J Morzan… - Artificial intelligence in …, 2021 - Elsevier
Background Internet provides different tools for communicating with patients, such as social
media (eg, Twitter) and email platforms. These platforms provided new data sources to shed …

The myth of reproducibility: A review of event tracking evaluations on Twitter

N Mamo, J Azzopardi, C Layfield - Frontiers in big Data, 2023 - frontiersin.org
Event tracking literature based on Twitter does not have a state-of-the-art. What it does have
is a plethora of manual evaluation methodologies and inventive automatic alternatives …

[HTML][HTML] Sub-story detection in Twitter with hierarchical Dirichlet processes

PK Srijith, M Hepple, K Bontcheva… - Information Processing & …, 2017 - Elsevier
Social media has now become the de facto information source on real world events. The
challenge, however, due to the high volume and velocity nature of social media streams, is …

Application of evolutionary algorithms in social networks: a comparative machine learning perspective

B Rajita, P Tarigopula, P Ramineni, A Sharma… - New Generation …, 2023 - Springer
Social networks exhibit interactions that lead to event changes in their communities. It is
imperative to track community events to understand an extensive social network. Recently …

[BOOK][B] Word embeddings: reliability & semantic change

J Hellrich - 2019 - books.google.com
Word embeddings are a form of distributional semantics increasingly popular for
investigating lexical semantic change. However, typical training algorithms are probabilistic …

[HTML][HTML] Identifying associations between epidemiological entities in news data for animal disease surveillance

S Valentin, R Lancelot, M Roche - Artificial Intelligence in Agriculture, 2021 - Elsevier
Event-based surveillance systems are at the crossroads of human and animal (and plant
and ecosystem) health, epidemiology, statistics, and informatics. Thus, their deployment …

Extraction and combination of epidemiological information from informal sources for animal infectious diseases surveillance

S Valentin - 2020 - theses.hal.science
Epidemic intelligence aims to detect, investigate and monitor potential health threats while
relying on formal (eg official health authorities) and informal (eg media) information sources …

Community-level social topic tracking of urban emergency: A case study of COVID-19

M Dou, Y Gu - Annals of the American Association of Geographers, 2022 - Taylor & Francis
During the outbreak of COVID-19 in Wuhan, the public used Weibo to acquire information,
express emotions, and seek help at a historic and unprecedented scale. This situational …

[PDF][PDF] A study of semantics across different representations of language

D Dharmaretnam - 2018 - dspace.library.uvic.ca
Semantics is the study of meaning and here we explore it through three major
representations: brain, image and text. Researchers in the past have performed various …

Comparative study of using word co-occurrence to extract disease symptoms from web documents

C Pechsiri, R Sukharomana - … KSS 2017, Bangkok, Thailand, November 17 …, 2017 - Springer
The research aim is a comparative study of using different word co-occurrence sizes as the
two word co-occurrence and the N word co-occurrence on verb phrases to extract disease …