Semantic Sentiment Analysis of Arabic Texts
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 2
Abstract
Twitter considered as a rich resource to collect people's opinions in different domains and attracted researchers to develop an automatic Sentiment Analysis (SA) model for tweets. In this work, a semantic Arabic Twitter Sentiment Analysis (ATSA) model is developed based on supervised machine learning (ML) approaches and semantic analysis. Most of the existing Arabic SA approaches represent tweets based on the bag-of-words (BoW) model. The main limitation of this model is that it is semantically weak; where words considered as independent features and ignore the semantic associations between them. As a result, synonymous words that appear in two tweets are represented as different independent features. To overcome this limitation, this work proposes enriching the tweets representation with concepts utilizing Arabic WordNet (AWN) as an external knowledge base. In addition, different concepts representation approaches are developed and evaluated with naïve Bayes (NB) and support vector machine (SVM) ML classifiers on an Arabic Twitter dataset. The experimental results indicate that using concepts features improves the performance of the ATSA model compared with the basic BoW representation. The improvement reached 4.48% with the SVM classifier and 5.78% with the NB classifier.
Authors and Affiliations
Sana Alowaidi, Mustafa Saleh, Osama Abulnaja
Keywords
Related Articles
- EP ID EP249154
- DOI 10.14569/IJACSA.2017.080234
- Views 103
- Downloads 0
Analysis of IPv4 vs IPv6 Traffic in US
It is still an accepted assumption that internet traffic is dominated by IPv4. However, due to introduction of modern technologies and concepts like Internet of Things (IoT) IPv6 has become the essential element. So keep...
fMRI Data Analysis Using Dempster-Shafer Method with Estimating Voxel Selectivity by Belief Measure
In the functional Magnetic Resonance Imaging (fMRI) data analysis, detecting the activated voxels is a challenging research problem where the existing methods have shown some limits. We propose a new method wherein brain...
Efficient Node Monitoring Mechanism in WSN using Contikimac Protocol
Wireless Sensor Network is monitored with ContikiMAC Cooja flavor to diagnose the energy utilization ratio by nodes and the fault detection process in distributed approach; adopted the Low power Listening (LPL) mechanism...
A Review of Scripting Techniques Used in Automated Software Testing
Software testing is the process of evaluating the developed system to assess the quality of the final product. Unfortunately, software-testing process is expensive and consumes a lot of time through software development...
LIMIT CYCLE GENERATION FOR MULTI-MODAL AND 2-DIMENSIONAL PIECEWISE AFFINE CONTROL SYSTEMS
This paper considers a limit cycle control problem of a multi-modal and 2-dimensional piecewise affine control system. Limit cycle control means a controller design method to generate a limit cycle for given piecewise af...