A System for Sentiment Analysis of Colloquial Arabic Using Human Computation
We present the implementation and evaluation of a sentiment analysis system that is conducted over Arabic text with evaluative content. Our system is broken into two different components. The first component is a game that enables users to annotate large corpuses of text in a fun manner. The game pr...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/631394 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555463503249408 |
|---|---|
| author | Afnan S. Al-Subaihin Hend S. Al-Khalifa |
| author_facet | Afnan S. Al-Subaihin Hend S. Al-Khalifa |
| author_sort | Afnan S. Al-Subaihin |
| collection | DOAJ |
| description | We present the implementation and evaluation of a sentiment analysis system that is conducted over Arabic text with evaluative content. Our system is broken into two different components. The first component is a game that enables users to annotate large corpuses of text in a fun manner. The game produces necessary linguistic resources that will be used by the second component which is the sentimental analyzer. Two different algorithms have been designed to employ these linguistic resources to analyze text and classify it according to its sentimental polarity. The first approach is using sentimental tag patterns, which reached a precision level of 56.14%. The second approach is the sentimental majority approach which relies on calculating the number of negative and positive phrases in the sentence and classifying the sentence according to the dominant polarity. The results after evaluating the system for the first sentimental majority approach yielded the highest accuracy level reached by our system which is 60.5% while the second variation scored an accuracy of 60.32%. |
| format | Article |
| id | doaj-art-4fe65f9688384bc3b6e0d3dd25bf9fea |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-4fe65f9688384bc3b6e0d3dd25bf9fea2025-02-03T05:48:06ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/631394631394A System for Sentiment Analysis of Colloquial Arabic Using Human ComputationAfnan S. Al-Subaihin0Hend S. Al-Khalifa1Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh 11496, Saudi ArabiaInformation Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh 11496, Saudi ArabiaWe present the implementation and evaluation of a sentiment analysis system that is conducted over Arabic text with evaluative content. Our system is broken into two different components. The first component is a game that enables users to annotate large corpuses of text in a fun manner. The game produces necessary linguistic resources that will be used by the second component which is the sentimental analyzer. Two different algorithms have been designed to employ these linguistic resources to analyze text and classify it according to its sentimental polarity. The first approach is using sentimental tag patterns, which reached a precision level of 56.14%. The second approach is the sentimental majority approach which relies on calculating the number of negative and positive phrases in the sentence and classifying the sentence according to the dominant polarity. The results after evaluating the system for the first sentimental majority approach yielded the highest accuracy level reached by our system which is 60.5% while the second variation scored an accuracy of 60.32%.http://dx.doi.org/10.1155/2014/631394 |
| spellingShingle | Afnan S. Al-Subaihin Hend S. Al-Khalifa A System for Sentiment Analysis of Colloquial Arabic Using Human Computation The Scientific World Journal |
| title | A System for Sentiment Analysis of Colloquial Arabic Using Human Computation |
| title_full | A System for Sentiment Analysis of Colloquial Arabic Using Human Computation |
| title_fullStr | A System for Sentiment Analysis of Colloquial Arabic Using Human Computation |
| title_full_unstemmed | A System for Sentiment Analysis of Colloquial Arabic Using Human Computation |
| title_short | A System for Sentiment Analysis of Colloquial Arabic Using Human Computation |
| title_sort | system for sentiment analysis of colloquial arabic using human computation |
| url | http://dx.doi.org/10.1155/2014/631394 |
| work_keys_str_mv | AT afnansalsubaihin asystemforsentimentanalysisofcolloquialarabicusinghumancomputation AT hendsalkhalifa asystemforsentimentanalysisofcolloquialarabicusinghumancomputation AT afnansalsubaihin systemforsentimentanalysisofcolloquialarabicusinghumancomputation AT hendsalkhalifa systemforsentimentanalysisofcolloquialarabicusinghumancomputation |