An Hymn of an even Deeper Sentiment Analysis

Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas

Accessing and gaining insight into the Rigveda poses a non-trivial challenge due to its extremely ancient Sanskrit language, poetic structure, and large volume of text. By using NLP techniques, this study identified topi…

Reflections on Sentiment/Opinion Analysis

In this paper, we described possible directions for deeper understanding, helping bridge the gap between psychology / cognitive science and computational approaches in sentiment/opinion analysis literature. We focus on t…

Dive deeper: Deep Semantics for Sentiment Analysis

Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis

Deep neural network models such as long short-term memory (LSTM) and tree-LSTM have been proven to be effective for sentiment analysis. However, sequential LSTM is a bias model wherein the words in the tail of a sentence…

A Retail-Corpus for Aspect-Based Sentiment Analysis with Large Language Models

Aspect-based sentiment analysis enhances sentiment detection by associating it with specific aspects, offering deeper insights than traditional sentiment analysis. This study introduces a manually annotated dataset of 10…