Stark using Word Cloud
G. Sravanthi1, G Balakrishna2
1G. Sravanthi, Assistant Professor, Department of Computer Science Engineering, Anurag Group of Institutions.
2G. Balakrishna, Assistant Profesor, Department of Computer Science Engineering, Anur Anurag group of Institutions. Hyderabad.
Manuscript received on 25 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1717-1719 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7659078919/19©BEIESP | DOI: 10.35940/ijitee.I7659.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: (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.
Index Terms: Word Cloud; Multi Word Cloud; Text Analysis; Clustering; Visualization; Data Analysis.
Scope of the Article: Cloud Computing