Amitha Caldera
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Author Swipe
Utilizing Association Rules in Knowledge Graphs for Enhanced News Summarization Open
The rapid progress in web news articles has led to an abundance of text content, often than needed, and consequently, misleading readers. Recent Knowledge Graph (KG) based approaches have proven successful in abstract summary generation du…
Generate Comic Strips Using AI Open
The art of storytelling through comic strips has long been a favorite, grabbing the interest of readers of all ages and developing into a variety of genres today, from superhero comics to political comics. Comic strip readers are more lite…
Sentiment Analysis of Code-Mixed Text: A Comprehensive Review Open
Sentiment Analysis is the task of identifying and extracting the opinion expressed in a text to determine the writer's perception of an entity. Due to globalization, people often mix two or more languages and use phonetic typing and lexica…
AI-Generated Comic Strips Open
Comic strips have long been a popular method of storytelling, capturing the imagination of readers of all ages and evolving into a wide range of genres today, from superhero comics to political comics.Studies show that comic strips have a …
Improving Customer Experience in Supermarkets: A New Approach based on Travel Path Open
In today’s competitive market, understanding its customers is a key to the success of any business. The market contains various customer subgroups that can be distinguished based on purchasing habits, time spent, product selection, and tra…
Association Rules for Knowledge Discovery From E-News Articles: A Review of Apriori and FP-Growth Algorithms Open
Owing to technological development, the internet has become the world's largest platform where an unaccountable amount of e-news information is freely available to use.Most of the time, e-newspaper readers have to examine the massive colle…
Knowledge Graphs Representation for Event-Related E-News Articles Open
E-newspaper readers are overloaded with massive texts on e-news articles, and they usually mislead the reader who reads and understands information. Thus, there is an urgent need for a technology that can automatically represent the gist o…
Determining Local Hematology Reference Ranges: A Data-driven Approach Open
Hematology is the study of blood, blood-forming organs, and blood diseases. Hematological tests such as Full Blood Count (FBC) can be used to diagnose a wide range of infections and diseases by comparing their results with the standard hem…