Alawami, Alawya
(2017)
Aspect extraction for sentiment analysis in Arabic dialect.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
The increase of the user-generated content on the web led to the explosion of opinionated text which facilitated opinion mining research. Despite the popularity of this research field in English text and the large number of Arabic speakers who contribute continuously to the web content, Arabic opinion mining has not received much attention due to the lack of reliable NLP tools and an accepted/comprehensive dataset. While English opinion mining has been studied extensively, Arabic opinion mining hasn’t received as much attention. The work that exists in sentiment analysis is limited to news, blogs written in Modern Standard Arabic and few studies on social media and web reviews written in Arabic dialect. Moreover, most of the work done has been done at the document and sentence level and to best of our knowledge, there is no work on a more fine-grained level. In this work, we take a more fine-grained approach to Arabic opinion mining at the aspect level through experimentation with methods that have been used in English Aspect extraction. Further, we are also contributing a dataset that can be used for further research on Arabic dialect.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
21 September 2017 |
| Date Type: |
Publication |
| Defense Date: |
30 May 2017 |
| Approval Date: |
21 September 2017 |
| Submission Date: |
13 September 2017 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
107 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Information Sciences > Information Science |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
Arabic, NLP, Opinion mining, aspect extraction |
| Date Deposited: |
21 Sep 2017 18:31 |
| Last Modified: |
21 Sep 2017 18:31 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/33178 |
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