Leveraging Twitter Data for Sentiment Analysis of Transit User Feedback: An NLP Framework

no code implementations • 11 Oct 2023 • Adway Das, Abhishek Kumar Prajapati, Pengxiang Zhang, Mukund Srinath, Andisheh Ranjbari

First, it utilizes few-shot learning for tweet classification within predefined categories, allowing effective identification of the issues described in tweets.

Few-Shot Learning Sentiment Analysis

A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models

no code implementations • 12 Jul 2023 • Agnimitra Sengupta, Sudeepta Mondal, Adway Das, S. Ilgin Guler

In our paper, we have shown that normalization alters the training process of deep neural networks by controlling the model's complexity and reducing the risk of overfitting to the training data.

Traffic Prediction Uncertainty Quantification

Hybrid hidden Markov LSTM for short-term traffic flow prediction

no code implementations • 11 Jul 2023 • Agnimitra Sengupta, Adway Das, S. Ilgin Guler

Deep learning (DL) methods have outperformed parametric models such as historical average, ARIMA and variants in predicting traffic variables into short and near-short future, that are critical for traffic management.