13 results for “Twitter Data Analysis”

Set a search alert

Research ArticleOpen accessIn the abstractPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHMAmr Adel, Essam ElFakharany, Amr BadrAs the popularity of Twitter continues to increase rapidly, it is extremely necessary to analyze the huge amount of data that Twitter users generate. A popular method of tweet analysis is clustering. Because most tweets are textual, this study focuses on clustering tweets based on their textual content similarity. This study presents tweet clustering using cellular genetic algorithm cGA. The … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 7,915 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEthnicity and Ethnic Perception of IndiansRavichandran Moorthy, Novel Lyndon, Er A. Choy et al.Problem statement: The discourse of ethnicity, race dominance and Islamization has dominated Malaysian politics since 1957, after several centuries of colonial rule. Although the country has achieved admirable socio-economic progress, the ethnic Indians situation has somewhat remained backward compared to the Malay and Chinese communities. The objective of this article is to examine how ethnic Indians recognize their ethnic identity … …Journal of Social Sciences, Vol. 7, Issue 4 · 16 Sep 2011 · 7,790 accessesView PDF Cite