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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
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Published Issues
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2019
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Volume 10, No. 1, February 2019
>
Exploiting RLPI for Sentiment Analysis on Movie Reviews
H K Darshan, Aditya R Shankar, B S Harish, and Keerthi Kumar H M
Sri Jayachamarajendra College of Engineering, Mysore, India
Abstract
—The rapid growth in internet usage has made people to share their opinions publicly. Public opinions generally influence the crowd to a great extent. It becomes important to analyze the sentiment expressed as opinion to derive useful conclusions. Sentiment Analysis (SA) on movie reviews deals with summarizing the overall sentiment of the reviews. In literature, many researchers worked on sentiment analysis on IMDb reviews by identifying relevant features and classifying the reviews. In this paper, we show that exploiting Regularized Locality Preserving Indexing (RLPI) as a feature selection method shows better results compared to other feature selection methods like Information Gain, Correlation and Chi Square when tested with classifiers like SVM, KNN and Naive Bayes. RLPI reduced the overall complexity by extracting discriminating features from the input data and improved classification accuracy.
Index Terms
—sentiment analysis, reviews, feature reduction, classification
Cite: H K Darshan, Aditya R Shankar, B S Harish, and Keerthi Kumar H M, "Exploiting RLPI for Sentiment Analysis on Movie Reviews," Journal of Advances in Information Technology, Vol. 10, No. 1, pp. 14-19, February 2019. doi: 10.12720/jait.10.1.14-19
3-AE010
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