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DS-Index: Ranking Authors Distinctively in an Academic Network
(Institute of Electrical and Electronics Engineers Inc., 2017)
The impact and productivity of researchers are assessed using bibliometric parameters, such as the number of publications and citation analysis. A number of indices exist that use these parameters, but almost all of them ...
Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms
(Institute of Electrical and Electronics Engineers Inc., 2020)
In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...
Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets
(Korean Society for Internet Information, 2018)
Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake ...
A Feature-Based Approach for Sentiment QuantificationUsing Machine Learning
(MDPI, 2022)
Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual ...