Successes and challenges of Arabic sentiment analysis research: a literature review

El-Masri, Mazen; Altrabsheh, Nabeela; Mansour, Hanady

doi:10.1007/s13278-017-0474-x

Cited by 60 publications

(42 citation statements)

References 15 publications

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“…The lexicon based strategy is typically utilized when the data are unlabelled [1]. Lexicon are utilized to label the data and to predict the polarity of each word.…”

Section: Sentiment Classification Techniquesmentioning

confidence: 99%

“…In the near past about a decade, galore social networks are introduced while the already existed networks such as Twitter, Facebook and Instagram etc have blew up their presence on cyber space [1,2]. The mentioned social networks have billions of users and yields a vast quantity of digital data, comprised of images, text, audio and video etc [2].…”

Section: Introductionmentioning

confidence: 99%

“…It is important to collect potential reviews in every field for good decision making and future prediction. Governments, Societies and organisations have an awesome enthusiasm for catching and collecting what individuals consider about a specific topic [1]. What the bigger portion of folks conceive Donald Trump, Facebook's procuring of WhatsApp and the fresh iPhone 10 are indispensable questions in the current age [1,5].…”

Section: Introductionmentioning

confidence: 99%

“…Sentiment analysis can be used to solve such inquiries [1,5]. Because SA is the process of investigating and extracting of individuals' remarks, audits and sentiments about a particular topic, an item, a news alert and a mobile application etc [1,2,5,7]. The advantages of performing SA are countless [7].…”

Section: Introductionmentioning

confidence: 99%

“…Abundant literature is available on strategies, difficulties, and utilization of SA for English language [1]. However, very little research has been led in SA of the Urdu language [8].…”

Section: Introductionmentioning

confidence: 99%

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Urdu Sentiment Analysis

Khan¹,

Khan²,

Rahman³

et al. 2018

ijacsa

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Internet is the most significant source of getting up thoughts, surveys for a product, and reviews for any type of service or activity. A Bulky amount of reviews are produced on daily basis on the cyberspace about online products and objects. For example, many individuals share their remarks, reviews and feelings in their own language utilizing social media networks such as twitter and so on. Considering their colossal Quantity and size, it is exceedingly knotty to look at with and interpret specified surveys. Sentiment Analysis (SA) aims at extracting people's opinion, felling and thought from their reviews in social websites. SA has recently gained significant consideration, however the vast majority of the resources and frameworks constructed so far are tailored to English as well as English like Western languages. The requirement for designing frameworks for different dialects is expanding, particularly as blogging and micro-blogging sites are becoming popular. This paper presents a comprehensive review of approaches of Urdu sentiment analysis and outlines of relevant gaps in the literature.

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“…The lexicon based strategy is typically utilized when the data are unlabelled [1]. Lexicon are utilized to label the data and to predict the polarity of each word.…”

Section: Sentiment Classification Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Abundant literature is available on strategies, difficulties, and utilization of SA for English language [1]. However, very little research has been led in SA of the Urdu language [8].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations