Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
To help individuals or companies make a systematic and more accurate decisions, sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Op...
Main Authors: | Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim |
---|---|
Format: | Article |
Published: |
Springer
2019
|
Subjects: |
Similar Items
-
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
by: Tubishat, Mohammad, et al.
Published: (2020) -
Implicit aspect extraction in sentiment analysis: Review, taxonomy, oppportunities, and open challenges
by: Tubishat, Mohammad, et al.
Published: (2018) -
The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)
by: Hitam, Nor Azizah, et al.
Published: (2021) -
Integration of feature subset selection methods for sentiment analysis
by: Yousefpour, Alireza
Published: (2019) -
Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis
by: Yousefpour, A., et al.
Published: (2017)