Application of Natural Language Processing with Supervised Machine Learning Techniques to Predict the Overall Drugs Performance

Application of Natural Language Processing with Supervised Machine Learning Techniques to Predict the Overall Drugs Performance

Online product reviews have become a valuable source of information which facilitate customer decision with respect to a particular product. With the wealthy information regarding user's satisfaction and experiences about a particular drug, pharmaceutical companies make the use of online drug r...

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Bibliographic Details
Main Authors: Duygu İçen, Pius Marthın
Format: Article
Language:English
Published: Akademik Bilişim Araştırmaları Derneği 2020-05-01
Series:Online Academic Journal of Information Technology
Subjects:
term document matrix (tdm)
machine learning
sentiment analysis
cross-validation
term frequency-inverse document frequency (tf-idf)
latent semantic analysis (lsa)
terim belge matrisi
makine öğrenme
duygu analizi
çapraz doğrulama
terim frekansı-ters belge frekansı
gizli semantik analiz
Online Access:https://dergipark.org.tr/tr/pub/ajit-e/issue/54243/735070

Internet

https://dergipark.org.tr/tr/pub/ajit-e/issue/54243/735070

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