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Tweet sentiment analysis with pronoun choice reveals online community dynamics in response to crisis events
(
Springer Verlag
, 2017 , Conference Paper)
We describe the emergence of an online community from naturally occurring social media data. Our method uses patterns of word choice in an online social platform to characterize how a community forms in response to adverse ...
Possible effects of emoticon and emoji on sentiment analysis web services of work organisations
(
Inderscience Enterprises Ltd.
, 2019 , Conference Paper)
Work organisations are increasingly interested in using sentiment analysis algorithms to get rapid feedback from microblogging platforms such as Twitter. However, real-life posts can differ from the training data. The ...
A light lexicon-based mobile application for sentiment mining of arabic tweets
(
Association for Computational Linguistics (ACL)
, 2015 , Conference Paper)
Most advanced mobile applications require server-based and communication. This often causes additional energy consumption on the already energy-limited mobile devices. In this work, we provide to address these limitations ...
CAT: Credibility Analysis of Arabic Content on Twitter
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...
Hulmona ( حلمنا ): The universal language model in arabic
(
Association for Computational Linguistics (ACL)
, 2019 , Conference Paper)
Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ...
Deep learning models for sentiment analysis in arabic
(
Association for Computational Linguistics (ACL)
, 2015 , Conference Paper)
In this paper, deep learning framework is proposed for text sentiment classification in Arabic. Four different architectures are explored. Three are based on Deep Belief Networks and Deep Auto Encoders, where the input ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...
Effectiveness of social media sentiment analysis tools with the support of emoticon/emoji
(2019 , Conference Paper)
Organizations are increasingly interested in using microblogging platforms, such as Twitter, to get rapid feedback in several domains using sentiment analysis algorithms to rate, for example, whether a target audience is ...