A Hybrid System for Subjectivity Analysis
Keyword(s):
We suggested different structured hybrid systems for the sentence-level subjectivity analysis based on three supervised machine learning algorithms, namely, Hidden Markov Model, Fuzzy Control System, and Adaptive Neuro-Fuzzy Inference System. The suggested feature extraction algorithm in our experiment computes a feature vector using statistical textual terms frequencies in a training dataset not having the use of any lexical knowledge except tokenization. Taking into consideration this fact, the above-mentioned methods may be employed in other languages as these methods do not utilize the morphological, syntactical, and lexical analysis in the classification problems.
Keyword(s):
2019 ◽
Vol 25
(4)
◽
pp. 545-553
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2013 ◽
Vol 21
(6)
◽
pp. 1080-1095
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2017 ◽
Vol 3
(1)
◽
pp. 36-48
2017 ◽
Vol 10
(3)
◽
pp. 280
Keyword(s):
2018 ◽