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Topic Extraction Method from Millions of Tweets Based on Fast Feature Selection Technique CWC.

, , , and . ICDM Workshops, page 724-731. IEEE Computer Society, (2016)

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Personalized Digests of Sports Programs Using Intuitive Retrieval and Semantic Analysis., , , and . ER, volume 1920 of Lecture Notes in Computer Science, page 584-585. Springer, (2000)An Approach for Designing Low Cost Deep Neural Network based Biometric Authentication Model for Smartphone User., , , and . TENCON, page 772-777. IEEE, (2019)Topic Detection about the East Japan Great Earthquake based on Emerging Modularity., , and . EJC, volume 251 of Frontiers in Artificial Intelligence and Applications, page 110-126. IOS Press, (2012)Infrastructures for Knowledge Systems Environments., , , , and . EJC, volume 237 of Frontiers in Artificial Intelligence and Applications, page 369-398. IOS Press, (2011)Important scene analysis model using result importance and situation importance., , , and . Int. J. Wirel. Mob. Comput., 3 (4): 225-235 (2009)SNS Topics Comparison on COVID-19 in India, Japan, and Indonesia., , , and . TENCON, page 293-298. IEEE, (2021)A Fast Algorithm for Unsupervised Feature Value Selection., , , , , and . ICAART (2), page 203-213. SCITEPRESS, (2020)Topic Extraction from Messages in Social Computing Services: Determining the Number of Topic Clusters., and . ICSC, page 232-235. IEEE Computer Society, (2010)Social media analysis - determining the number of topic clusters from buzz marketing site., , and . Int. J. Comput. Sci. Eng., 7 (1): 65-72 (2012)Developing a framework for an advisory message board for female victims after disasters: A case study after east Japan great earthquake., , and . Digit. Scholarsh. Humanit., 31 (4): 711-724 (2016)