Corpora for sentiment analysis of Arabic text in social media

Itani, Maher; Roast, Chris; Al-Khayatt, Samir

doi:10.1109/iacs.2017.7921947

Cited by 20 publications

(15 citation statements)

References 16 publications

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“…Preprocessing [17] Normalization, POS tagging [24][25][26][27] Stemming [28][29][30][31][32][33] Text cleaning [34][35][36][37][38][39] Normalization, stemming, stop words removal [40][41][42] Text cleaning, normalization, stemming, stop words removal [43][44][45] Normalization Text cleaning, normalization, tokenization, stemming, stop words removal [49][50][51][52] Normalization, tokenization [53,54] Text cleaning, normalization, tokenization [55,56] Normalization, tokenization, POS tagging [13,[57][58][59][60][61][62][63][64] Normalization, tokenization, stemming, stop words removal [65,66] Normalization, tokenization, stemming, lemmatization [67,68] Text cleaning, normalization, tokenization, stemming [69] Text cleaning, tokenization, stemming, negation detection [70]…”

Section: Referencementioning

confidence: 99%

“…Most studies focused on ASA applications in a limited set of domains, such as politics [15,48,62,89], hotel [79,113], business and economy [12,20,129], arts and books [29,32,92], entertainment and movies [71,73,99], and sport [81,96] Several papers were published [12,74,83] to study ASA for several purposes such as building Arabic senti-lexicon, designing a framework for ASA, and comparing two free online SA tools that support Arabic. ese studies involved collecting small datasets with size less than 3000 tweets that are relevant to several domains such as education, sports, and politics.…”

Section: Arabic Sentiment Analysis Applicationsmentioning

confidence: 99%

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Arabic Sentiment Analysis: A Systematic Literature Review

Ghallab

Mohsen

Ali

2020

Applied Computational Intelligence and Soft Computing

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With the recently grown attention from different research communities for opinion mining, there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces a systematic review of the existing literature relevant to ASA. The main goals of the review are to support research, to propose further areas for future studies in ASA, and to smoothen the progress of other researchers’ search for related studies. The findings of the review propose a taxonomy for sentiment classification methods. Furthermore, the limitations of existing approaches are highlighted in the preprocessing step, feature generation, and sentiment classification methods. Some likely trends for future research with ASA are suggested in both practical and theoretical aspects.

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Section: Referencementioning

confidence: 99%

Section: Arabic Sentiment Analysis Applicationsmentioning

confidence: 99%

Arabic Sentiment Analysis: A Systematic Literature Review

Ghallab

Mohsen

Ali

2020

Applied Computational Intelligence and Soft Computing

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“…At long last, they represent a contextual analysis looking at the connection between negative suppositions of twitter presents related on English Defense League and the level of confusion amid the association's connected occasions. [6]Mao et alexplained In the experiment, method to determine text polarity classification has many advantages (1) The method automatic extracts the semantic features without semantic word dictionary. (2) The accuracy of the method will be higher when more prior knowledge is added.…”

Section: IImentioning

confidence: 99%

Review Analyzing System using Lexicon Based Approach

Patil¹

2019

IJRASET

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E-Commerce allows us to interact with various product suppliers and buy various products from all over the world. There are various sites providing online facilities to both buyer and seller of product. In today's world quality of the product play major role and user must be satisfied with the product. Advantage of using this approach in the E-Commerce site is to provide the user guarantee about the product before buying it. This will help the customer to identify right product and buy it after verifying the product.Reviewer of the product are important who will help to identify the customer as well as site owner to manage the buying or visibility of the product. By applying technique will help to determine the opinion of the previous buyer as well as aware new customer while purchasing the product by providing rating of the product. Through this customer,product seller and web manager all will get analyzation of product.

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“…[35] create two dialects corpora: one for news; and another for art. The news corpus contains 1000 posts collected from "Al Arabiyya" news Facebook page.…”

Section: Sentiments Analysis Of Msamentioning

confidence: 99%

The Corpus Based Approach to Sentiment Analysis in Modern Standard Arabic and Arabic Dialects: A Literature Review

Alnawas¹,

Arıcı²

2018

Journal of Polytechnic

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Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Alnawas A. and Arıcı N., "The corpus based approach to sentiment analysis in modern standard Arabic and Arabic dialects: a literature review", Politeknik Dergisi, 21(2): 461-470, (2018).Erişim linki (To link to this article): http://dergipark.gov.tr/politeknik/archive DOI: 10.2339/politeknik.403975 Politeknik Dergisi, 2018;21(2):461-470 Journal of Polytechnic, 2018;21(2) With the increase in applications on the Internet and social networks, Sentiment Analysis has taken a considerable place in the field of text mining research and has since been used to explore the opinions of users about various products or topics discussed over the Internet. When the literature on Sentiment Analysis is examined, it is seen that the natural language of the Internet information sources that form the basis of the analysis is mostly English. Developments in the fields of Natural Language Processing and Computational Linguistics have contributed positively to Sentiment Analysis studies made from natural languages other than English. The purpose of this study is to examine the literature of Sentiment Analysis conducted in Arabic internet information sources. The literature review includes studies based on the corpus approach, which is made up of Arabic Internet information sources. Studies are being carried out on the works which constitute their own corpora for both Modern Standard Arabic and Arabic dialects and on which sentiment analysis is performed.

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Corpora for sentiment analysis of Arabic text in social media

Cited by 20 publications

References 16 publications

Arabic Sentiment Analysis: A Systematic Literature Review

Arabic Sentiment Analysis: A Systematic Literature Review

Review Analyzing System using Lexicon Based Approach

The Corpus Based Approach to Sentiment Analysis in Modern Standard Arabic and Arabic Dialects: A Literature Review

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