Opinion mining from arabic quotations
We present a contribution to the Arabic Opinion Mining area with the development of a new system for quotations detection and categorization. Our approach differs from the existing work by proposing an operational tool that enables search for keywords in the categorized quotations. The categorizatio...
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2014
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| Online Access: | http://hdl.handle.net/20.500.12458/335 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910009665&doi=10.1145%2f2668260.2668291&partnerID=40&md5=3f0e15bb40e92293ca3fb23ac53a74c6 |
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| _version_ | 1857415064320999424 |
|---|---|
| author | Alrahabi, Al Moatasem |
| author_facet | Alrahabi, Al Moatasem |
| author_role | author |
| dc.creator.none.fl_str_mv | Alrahabi, Al Moatasem |
| dc.date.none.fl_str_mv | 2014 2019-02-28T07:40:24Z 2019-02-28T07:40:24Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 9781450327671 (ISBN) http://hdl.handle.net/20.500.12458/335 10.1145/2668260.2668291 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910009665&doi=10.1145%2f2668260.2668291&partnerID=40&md5=3f0e15bb40e92293ca3fb23ac53a74c6 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Association for Computing Machinery, Inc |
| dc.relation.none.fl_str_mv | 6th International Conference on Management of Emergent Digital EcoSystems, MEDES 2014 MEDES 2014 - 6th International Conference on Management of Emergent Digital EcoSystems, Proceedings 190 195 |
| dc.title.none.fl_str_mv | Opinion mining from arabic quotations |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedings |
| description | We present a contribution to the Arabic Opinion Mining area with the development of a new system for quotations detection and categorization. Our approach differs from the existing work by proposing an operational tool that enables search for keywords in the categorized quotations. The categorization is performed with a rule-based system and is based on the reporting markers' meaning. The system end-user interface enables two query types within the categorized quotations: searching for keywords in the part containing eventually the quotation source (reporting clause) or in the part concerning the topic (reported clause). Our system was applied to process a corpus of Arabic newspaper articles. Both evaluations were carried out with the following results: 88 of recall and 93 of precision for the identification task; 85 or recall and a 93 of precision for the categorization task. The system is publicly accessible on the web site (http://e-quotes.net). Copyright © 2014 ACM. |
| id | sorbonner_4929af73005b319c23555ff2cec2830d |
| identifier_str_mv | 9781450327671 (ISBN) 10.1145/2668260.2668291 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/335 |
| publishDate | 2014 |
| publisher.none.fl_str_mv | Association for Computing Machinery, Inc |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Opinion mining from arabic quotationsAlrahabi, Al MoatasemWe present a contribution to the Arabic Opinion Mining area with the development of a new system for quotations detection and categorization. Our approach differs from the existing work by proposing an operational tool that enables search for keywords in the categorized quotations. The categorization is performed with a rule-based system and is based on the reporting markers' meaning. The system end-user interface enables two query types within the categorized quotations: searching for keywords in the part containing eventually the quotation source (reporting clause) or in the part concerning the topic (reported clause). Our system was applied to process a corpus of Arabic newspaper articles. Both evaluations were carried out with the following results: 88 of recall and 93 of precision for the identification task; 85 or recall and a 93 of precision for the categorization task. The system is publicly accessible on the web site (http://e-quotes.net). Copyright © 2014 ACM.Association for Computing Machinery, Inc2019-02-28T07:40:24Z2019-02-28T07:40:24Z2014Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedingsapplication/pdf9781450327671 (ISBN)http://hdl.handle.net/20.500.12458/33510.1145/2668260.2668291https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910009665&doi=10.1145%2f2668260.2668291&partnerID=40&md5=3f0e15bb40e92293ca3fb23ac53a74c6en6th International Conference on Management of Emergent Digital EcoSystems, MEDES 2014MEDES 2014 - 6th International Conference on Management of Emergent Digital EcoSystems, Proceedings190195oai:depot.sorbonne.ae:20.500.12458/3352023-12-06T09:29:04Z |
| spellingShingle | Opinion mining from arabic quotations Alrahabi, Al Moatasem |
| title | Opinion mining from arabic quotations |
| title_full | Opinion mining from arabic quotations |
| title_fullStr | Opinion mining from arabic quotations |
| title_full_unstemmed | Opinion mining from arabic quotations |
| title_short | Opinion mining from arabic quotations |
| title_sort | Opinion mining from arabic quotations |
| url | http://hdl.handle.net/20.500.12458/335 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910009665&doi=10.1145%2f2668260.2668291&partnerID=40&md5=3f0e15bb40e92293ca3fb23ac53a74c6 |