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http://hdl.handle.net/1893/30451
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DC Field | Value | Language |
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dc.contributor.author | Dashtipour, Kia | en_UK |
dc.contributor.author | Gogate, Mandar | en_UK |
dc.contributor.author | Li, Jingpeng | en_UK |
dc.contributor.author | Jiang, Fengling | en_UK |
dc.contributor.author | Kong, Bin | en_UK |
dc.contributor.author | Hussain, Amir | en_UK |
dc.date.accessioned | 2019-11-13T01:00:58Z | - |
dc.date.available | 2019-11-13T01:00:58Z | - |
dc.date.issued | 2020-03-07 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/30451 | - |
dc.description.abstract | Social media hold valuable, vast and unstructured information on public opinion that can be utilized to improve products and services. The automatic analysis of such data, however, requires a deep understanding of natural language. Current sentiment analysis approaches are mainly based on word co-occurrence frequencies, which are inadequate in most practical cases. In this work, we propose a novel hybrid framework for concept-level sentiment analysis in Persian language, that integrates linguistic rules and deep learning to optimize polarity detection. When a pattern is triggered, the framework allows sentiments to flow from words to concepts based on symbolic dependency relations. When no pattern is triggered, the framework switches to its subsymbolic counterpart and leverages deep neural networks (DNN) to perform the classification. The proposed framework outperforms state-of-the-art approaches (including support vector machine, and logistic regression) and DNN classifiers (long short-term memory, and Convolutional Neural Networks) with a margin of 10–15% and 3–4% respectively, using benchmark Persian product and hotel reviews corpora. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | Elsevier | en_UK |
dc.relation | Dashtipour K, Gogate M, Li J, Jiang F, Kong B & Hussain A (2020) A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks. Neurocomputing, 380, pp. 1-10. https://doi.org/10.1016/j.neucom.2019.10.009 | en_UK |
dc.rights | This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Dashtipour K, Gogate M, Li J, Jiang F, Kong B & Hussain A (2020) A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks. Neurocomputing, 380, pp. 1-10. https://doi.org/10.1016/j.neucom.2019.10.009 © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.subject | Persian Sentiment Analysis | en_UK |
dc.subject | Low-Resource Natural Language Processing | en_UK |
dc.subject | Dependency-based Rules | en_UK |
dc.subject | Deep Learning | en_UK |
dc.title | A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks | en_UK |
dc.type | Journal Article | en_UK |
dc.rights.embargodate | 2020-10-18 | en_UK |
dc.rights.embargoreason | [A_Hybrid_Persian_Sentiment_Analysis_Fram.pdf] Publisher requires embargo of 12 months after formal publication. | en_UK |
dc.identifier.doi | 10.1016/j.neucom.2019.10.009 | en_UK |
dc.citation.jtitle | Neurocomputing | en_UK |
dc.citation.issn | 0925-2312 | en_UK |
dc.citation.volume | 380 | en_UK |
dc.citation.spage | 1 | en_UK |
dc.citation.epage | 10 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.author.email | jli@cs.stir.ac.uk | en_UK |
dc.citation.date | 17/10/2019 | en_UK |
dc.contributor.affiliation | Computing Science | en_UK |
dc.contributor.affiliation | Edinburgh Napier University | en_UK |
dc.contributor.affiliation | Computing Science | en_UK |
dc.contributor.affiliation | Chinese Academy of Sciences | en_UK |
dc.contributor.affiliation | Chinese Academy of Sciences | en_UK |
dc.contributor.affiliation | Edinburgh Napier University | en_UK |
dc.identifier.isi | WOS:000507986500001 | en_UK |
dc.identifier.scopusid | 2-s2.0-85075436840 | en_UK |
dc.identifier.wtid | 1480083 | en_UK |
dc.contributor.orcid | 0000-0001-8651-5117 | en_UK |
dc.contributor.orcid | 0000-0002-6758-0084 | en_UK |
dc.date.accepted | 2019-10-05 | en_UK |
dcterms.dateAccepted | 2019-10-05 | en_UK |
dc.date.filedepositdate | 2019-11-12 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Journal Article/Review | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Dashtipour, Kia|0000-0001-8651-5117 | en_UK |
local.rioxx.author | Gogate, Mandar| | en_UK |
local.rioxx.author | Li, Jingpeng|0000-0002-6758-0084 | en_UK |
local.rioxx.author | Jiang, Fengling| | en_UK |
local.rioxx.author | Kong, Bin| | en_UK |
local.rioxx.author | Hussain, Amir| | en_UK |
local.rioxx.project | Internal Project|University of Stirling|https://isni.org/isni/0000000122484331 | en_UK |
local.rioxx.freetoreaddate | 2020-10-18 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2020-10-17 | en_UK |
local.rioxx.licence | http://creativecommons.org/licenses/by-nc-nd/4.0/|2020-10-18| | en_UK |
local.rioxx.filename | A_Hybrid_Persian_Sentiment_Analysis_Fram.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 0925-2312 | en_UK |
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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A_Hybrid_Persian_Sentiment_Analysis_Fram.pdf | Fulltext - Accepted Version | 1.31 MB | Adobe PDF | View/Open |
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