Leveraging social media as a source of mobility intelligence: An NLP-based approach
T Fontes, F Murçós, E Carneiro… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
This work presents a deep learning framework for analyzing urban mobility by extracting
knowledge from messages collected from Twitter. The framework, which is designed to …
knowledge from messages collected from Twitter. The framework, which is designed to …
Enhancing decision-making in transportation management: A comparative study of text classification models
E Carneiro, T Fontes, RJF Rossetti… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Machine learning algorithms offer the capability to analyze large volumes of real-time data,
providing transport authorities with valuable insights into traffic conditions, congestion …
providing transport authorities with valuable insights into traffic conditions, congestion …
Cross-and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction
The COVID-19 pandemic has dramatically transformed human mobility patterns. Therefore,
human mobility prediction for the “new normal” is crucial to infrastructure redesign …
human mobility prediction for the “new normal” is crucial to infrastructure redesign …
Whose Attitudes Toward Transit Are Most Affected by Rising Subway Crimes in New York City?
This paper aims to understand the public attitude toward crimes in the subway system using
social media data. In particular, we focus on the users who tweeted about New York City …
social media data. In particular, we focus on the users who tweeted about New York City …
An Efficient Approach of NER in Social Media using BiLSTM-CRF Model
M Raguram, M Shivaram, OS Nivas… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Early named entity recognition models struggled with the issue of multiple meanings of a
word because most text processing concentrated on the representation of individual words …
word because most text processing concentrated on the representation of individual words …
A Review of Sentimental Analysis for Vaccine Dataset Using BI-LSTM Method
A Soreng, SS Khan, A Deo - … on ICT in Business Industry & …, 2023 - ieeexplore.ieee.org
In the age of digital communication, the realm of public opinion, particularly on pressing
issues like vaccination, has found its voice through myriad online platforms. Given the surge …
issues like vaccination, has found its voice through myriad online platforms. Given the surge …
Travel Pattern Analysis on Switching Behavior in Response to the COVID-19 Pandemic
The COVID-19 pandemic has significantly affected people's daily life across the globe. This
paper aims to understand the change of individual travel behavior during the pandemic. We …
paper aims to understand the change of individual travel behavior during the pandemic. We …
[PDF][PDF] Knowledge Extraction from Social Networks for Near Real-Time Transport Network Evaluation: An Ensemble Approach
ELD Carneiro - 2023 - repositorio-aberto.up.pt
A pervasive use of social media by millions of individuals as a platform for daily discussions
on diverse topics has established it as an invaluable source of real-time information. Public …
on diverse topics has established it as an invaluable source of real-time information. Public …