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

Abstract: In the era of digital technology, when material created by users is prevalent on online platforms, considerable difficulty is faced in analyzing large volumes of text in order to comprehend ...

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 ...

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 ...

If you like this project, please give it a "star"! Thank you for your support! I am currently still actively learning English and have utilized advanced AI translation technology for the English ...

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 ...