On the public citation graph

Analysis of Twitter Data on Covid-19 and School Transportation: A Topic Modeling Approach

https://doi.org/10.2139/ssrn.4655730
0 signed · 27 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.artmed.2021.102096openalex-extracted
Evaluation of clustering and topic modeling methods over health-related tweets and emails
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2016.04.002openalex-extracted
The geography of Twitter topics in London
inferredcites →https://doi.org/10.1016/j.jjimei.2021.100021openalex-extracted
Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
inferredcites →https://doi.org/10.1016/j.jtrangeo.2021.103191openalex-extracted
The impact of Covid-19 on children's active travel to school in Vietnam
inferredcites →https://doi.org/10.1016/j.trip.2020.100290openalex-extracted
Considerations for the transportation of school aged children amid the Coronavirus pandemic
inferredcites →https://doi.org/10.1016/j.trip.2024.101061openalex-extracted
A national survey on the effect of the COVID-19 pandemic on school travel in the US. – Parents perspective
inferredcites →https://doi.org/10.1017/ash.2021.225openalex-extracted
Social media: A new tool for outbreak surveillance
inferredcites →https://doi.org/10.1080/15459624.2022.2050739openalex-extracted
Investigating dilution ventilation control strategies in a modern U.S. school bus in the context of the COVID-19 pandemic
inferredcites →https://doi.org/10.1080/19427867.2021.1896064openalex-extracted
Impact of COVID-19 on educational trips – an Indian case study
inferredcites →https://doi.org/10.1080/19427867.2023.2187334openalex-extracted
Exploring COVID-19 pandemic potential impacts on students’ school travel behavior
inferredcites →https://doi.org/10.1111/josh.13058openalex-extracted
COVID ‐19 Transmission during Transportation of 1st to 12th Grade Students: Experience of an Independent School in Virginia
inferredcites →https://doi.org/10.1136/bmjgh-2017-000296openalex-extracted
Zika pandemic online trends, incidence and health risk communication: a time trend study
inferredcites →https://doi.org/10.1145/2623330.2623715openalex-extracted
A dirichlet multinomial mixture model-based approach for short text clustering
inferredcites →https://doi.org/10.1145/2684822.2685324openalex-extracted
Exploring the Space of Topic Coherence Measures
inferredcites →https://doi.org/10.1163/9789004322714_cclc_2019-0223-783openalex-extracted
Electric Buses in America Lessons from Cities Pioneering Clean Transportation
inferredcites →https://doi.org/10.1177/03611981211029926openalex-extracted
Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
inferredcites →https://doi.org/10.1177/23998083221135609openalex-extracted
Transit communication via Twitter during the COVID-19 pandemic
inferredcites →https://doi.org/10.13140/2.1.2393.1847openalex-extracted
Software Framework for Topic Modelling with Large Corpora
inferredcites →https://doi.org/10.1371/journal.pone.0268669openalex-extracted
Dynamic topic modeling of twitter data during the COVID-19 pandemic
inferredcites →https://doi.org/10.15354/bece.20.or027openalex-extracted
The US Educational Response to the COVID-19 Pandemic
inferredcites →https://doi.org/10.1609/icwsm.v8i1.14550openalex-extracted
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
inferredcites →https://doi.org/10.2196/21418openalex-extracted
Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data
inferredcites →https://doi.org/10.2196/40408openalex-extracted
Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study
inferredcites →https://doi.org/10.3390/su132313356openalex-extracted
Capturing Twitter Negativity Pre- vs. Mid-COVID-19 Pandemic: An LDA Application on London Public Transport System
inferredcites →https://doi.org/10.47869/tcsj.72.7.1openalex-extracted
Modelling school travel mode choice – the case of hanoi, vietnam
inferredcites →https://doi.org/10.48550/arxiv.2003.12309openalex-extracted
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-extracted
Latent Dirichlet Allocation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.