The CPA Journal

Automating Data Analysis with Python Dashboards

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
GitHub

Aspect-Based Sentiment Analysis of Airline Tweets Using BERT and BERTopic for Fine-Grained Feedback

This repository focuses on Aspect-Based Sentiment Analysis (ABSA) for airline tweets, aiming to extract more granular insights from customer feedback. It leverages state-of-the-art transformer models ...
IEEE

Multilevel Representation Disentanglement Framework for Multimodal Sentiment Analysis

Abstract: Multimodal Sentiment Analysis (MSA) has gained wide attention in many fields in recent years. However, the problem of heterogeneity and redundant information among different signals ...
IEEE

Multimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning

Abstract: Multimodal sentiment analysis seeks to utilize various types of signals to identify underlying emotions and sentiments. A key challenge in this field lies in multimodal representation ...
InfoWorld

Databot: AI-assisted data analysis in R or Python

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
GitHub

Aspect-Term Extraction and Aspect-Based Sentiment Analysis (ABSA)

This project implements an Aspect-Based Sentiment Analysis (ABSA) pipeline using fine-tuned bert-large-uncased[1] model. It extracts aspect terms from text (e.g., "sevice," "food", "ambiance") and ...