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May-2019
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
Impact factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal
UGC Approved Journal no 63975(19)
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIRCV06063
Registration ID:
217745
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Title
AUTOMATIC EMPLOYEE RATING SYSTEM USING SENTIMENTAL ANALYSIS
Abstract
Many sentimental analysis methods
for the classification of reviews use training and test data based on star rating provided by the reviewers. However when reading reviews it appears that the reviewers rating do not always give an accurate measure of the sentiment of the review. We performed an annotation study which showed that reader perceptions can also be expressed in ratings in reliable way and that they are closer to the text than the reviewer ratings.
Key Words
AUTOMATIC EMPLOYEE RATING SYSTEM USING SENTIMENTAL ANALYSIS
Cite This Article
" AUTOMATIC EMPLOYEE RATING SYSTEM USING SENTIMENTAL ANALYSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.307-310, May 2019, Available :http://www.jetir.org/papers/JETIRCV06063.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
" AUTOMATIC EMPLOYEE RATING SYSTEM USING SENTIMENTAL ANALYSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp307-310, May 2019, Available at : http://www.jetir.org/papers/JETIRCV06063.pdf
Publication Details
Published Paper ID: JETIRCV06063
Registration ID: 217745
Published In: Volume 6 | Issue 5 | Year May-2019
Page No: 307-310
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRCV06063
Published Paper PDF: https://www.jetir.org/papers/JETIRCV06063
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