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  • 标题:Assist Autism Spectrum, Data Acquisition method using Spatio-temporal Model
  • 本地全文:下载
  • 作者:R. Karthikeyan ; K.G.S. Venkatesan ; M.L. Ambikha
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:2
  • DOI:10.15680/ijircce.2015.0302067
  • 出版社:S&S Publications
  • 摘要:Employing a giant information set of harvested tweets, we tend to The Autism Spectrum Disorder(ASD) is progressively being recognized as a serious public health issue that affects or so zero.5-0.6% of thepopulation. The aim of this work is to analyse if Twitter, as a extremely standard platform for data exchange, is used asa data-mining supply that may aid gift a series of experiments that examine a variety of linguisticand linguistics aspects of messages announce by individuals inquisitive about ASD. Our findings, the primary of theirnature within the revealed scientific literature, powerfully encourage extra analysis on this subject and gift amethodological basis for additional work.
  • 关键词:Autism Spectrum Disorder (ASD); Spatio-temporal Model; Parts of Speech ( POS ); Latent Semantic;Analysis ( LSA ).
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