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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19688
Article Published : 8087
Total Authors : 21392
Total Reviewer : 770
Total Countries : 147
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| Paper Title: | SARCASTIC APPROACHES BASED ON MACHINE LEARNING CLASSIFIER WITH BIG DATA |
| Authors Name: | Vinoth R , Roobini S , Prasanna Venkatesh R , Ravi Kumar P |
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| Author Reg. ID: |
IJRTI_181446
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| Published Paper Id: | IJRTI2103037 |
| Published In: | Volume 6 Issue 3, March-2021 |
| DOI: | |
| Abstract: | Sarcasm is a refined type of incongruity generally utilized in interpersonal organizations and microblogging sites. It is now and then wont to pass on understood information inside the message an individual communicates. Mockery can be utilized for different capacities like analysis or joke. Be that as it may, it's grave in any event, for people to recognize. Along these lines, perceiving harsh proclamations is appallingly useful to improve programmed estimation investigation of data gathered from miniature writing for a blog sites or interpersonal organizations. Feeling investigation alludes to the Identification and total of mentalities and assessments communicated by Internet clients towards a Specific point. In this paper, we will in general propose an example put together way to deal with notice Sarcasm with respect to Twitter. We propose four arrangements of alternatives that cowl the different types of Sarcasm we tend to characterized. We utilize those to group tweets as harsh and non-wry. |
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| Cite Article: | "SARCASTIC APPROACHES BASED ON MACHINE LEARNING CLASSIFIER WITH BIG DATA", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 3, page no.183 - 185, March-2021, Available :http://www.ijrti.org/papers/IJRTI2103037.pdf |
| Downloads: | 000205100 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2103037
Registration ID:181446
Published In: Volume 6 Issue 3, March-2021
DOI (Digital Object Identifier):
Page No: 183 - 185 Country: CHENNAI, TAMILNADU, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2103037 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2103037 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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