Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …

Code clones, referring to code fragments that are either similar or identical and are copied
and pasted within software systems, have negative effects on both software quality and …

This research provides the first comprehensive analysis of the performance of pre-trained
language models for Sinhala text classification. We test on a set of different Sinhala text …

Sinhala is the native language of the Sinhalese people who make up the largest ethnic
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …

Due to the high impact of the fast-evolving fields of machine learning and deep learning,
Natural Language Processing (NLP) tasks have further obtained comprehensive …

Sentiment analysis is specifically a text mining technique that utilizes natural language
processing to computerize the process of analyzing text that aims to determine the sentiment …

Legal information retrieval holds a significant importance to lawyers and legal professionals.
Its significance has grown as a result of the vast and rapidly increasing amount of legal …

The development of a model to quantify semantic similarity and relatedness between words
has been the major focus of many studies in various fields, eg psychology, linguistics, and …

The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

Contextualized embeddings based on large language models (LLMs) are available for
various languages, but their coverage is often limited for lower resourced languages …