Open AccessStark using Word Cloud
Author(s) -
G. L. Sravanthi,
G. Balakrishna
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7659.078919
Subject(s) - tag cloud , computer science , word (group theory) , cloud computing , metadata , information retrieval , font , representation (politics) , image (mathematics) , ranking (information retrieval) , web page , world wide web , natural language processing , artificial intelligence , visualization , linguistics , philosophy , politics , political science , law , operating system
(Please read carefully abstract of the template). STARK (Simultaneous Tracking and Ranking) is a web application which comes handy with Telecommunication companies for knowing their product’s major faults and most frequently appearing comments using a Big Data methodology called the Word Cloud. A Word cloud (tag cloud or weighted list in visual design) is a visual representation of text data, typically used to depict keyword metadata (tags) on websites, or to visualize free form text. The Word Cloud is an algorithm commonly used in big data to bring an image of words with varying font size based on their number of occurrences in a text. Tags are usually single words, and the importance of each tag is shown with font size or color. This format is useful for quickly perceiving the most prominent terms and for locating a term alphabetically to determine its relative prominence. When used as website navigation aids, the terms are hyperlinked to items associated with the tag. Thus, the web application wisely employees the Word Cloud algorithm to form the word cloud image based on the comments and faults provided by the users of the web application.