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Unsupervised adaptive microblog filtering for broad dynamic topics
(
Elsevier
, 2016 , Article)
Information filtering has been a major task of study in the field of information retrieval (IR) for a long time, focusing on filtering well-formed documents such as news articles. Recently, more interest was directed towards ...
DART: A large dataset of dialectal Arabic tweets
(
European Language Resources Association (ELRA)
, 2019 , Conference Paper)
In this paper, we present a new large manually-annotated multi-dialect dataset of Arabic tweets that is publicly available. The Dialectal ARabic Tweets (DART) dataset has about 25K tweets that are annotated via crowdsourcing ...
Does qatar need a declared language policy? A virtual ethnography perspective
(
Nova Science Publishers, Inc.
, 2019 , Book chapter)
Is there a language question in Qatar's diverse society? This study raises this question and suggests that there may be more than one. Through a virtual ethnography as a research method, this study investigates how the ...
EveTAR: building a large-scale multi-task test collection over Arabic tweets
(
Springer Netherlands
, 2018 , Article)
This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. ...
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 ...
EveTAR: A new test collection for event detection in Arabic tweets
(
Association for Computing Machinery, Inc
, 2016 , Conference Paper)
Research on event detection in Twitter is often obstructed by the lack of publicly-available evaluation mechanisms such as test collections; this problem is more severe when considering the scarcity of them in languages ...
Arabic corpora for credibility analysis
(
European Language Resources Association (ELRA)
, 2016 , Conference Paper)
A significant portion of data generated on blogging and microblogging websites is non-credible as shown in many recent studies. To filter out such non-credible information, machine learning can be deployed to build automatic ...
Latest Trends in Twitter from Arab Countries and the World
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
1. Introduction: Twitter is the micro blogging social media platform which has at most variety of content. The open access to Twitter data with the usage of Twitter APIs has made it a important area of research. Twitter ...
Disaster related social media content processing for sustainable cities
(
Elsevier
, 2021 , Article)
The current study offers a hybrid convolutional neural networks (CNN) model that filters relevant posts and categorises them into several humanitarian classifications using both character and word embedding of textual ...
Blogs as an Effective Social Media Tool in Education
(
Association for the Advancement of Computing in Education (AACE)
, 2019 , Conference Proceedings)
Abstract: The growth of web 2.0 tools is increasingly influencing higher education. Educators debate the effectiveness of social media tools in educational environment. Some empirical studies reported positive evidences ...