Analyzing Large-Scale Twitter Real Time Streaming Data with Manifold Machine Learning Algorithms in Apache SPARK

With the rapid growth of social media platforms, Twitter has emerged as a valuable source that provides real-time data on public opinion, sentiment, and trends through approximately 7500 tweets per second, enabling individuals, brand organizations, and public influencers to express thoughts, opinion...

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Veröffentlicht in:	2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) S. 1 - 9
Hauptverfasser:	Abhineswari, M, Priyadarshini, R
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 21.12.2023
Schlagworte:	Apache Spark Big Data Analytics Blogs Cluster computing Data visualization Machine Learning Classifications Real-time systems real-time Twitter Streaming Sentiment Analysis Social networking (online) Support vector machines Trend Analysis
Online-Zugang:	Volltext
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