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dibba,
united arab emirates
Il est actuellement 12:17 PM ici
Rejoint le août 13, 2016
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Rabeea M.
@Rabeea280
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dibba,
united arab emirates
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Dentist and Content Specialist plus Web Developer
Contactez Rabeea M. concernant votre travail
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Portfolio
Portfolio
GENERAL BLOGS
Affiliate Marketing Content
GENERAL BLOGS
Affiliate Marketing Content
Commentaires
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Expérience
IT Support
mars 2016 - Jusqu'à présent
install and configure computer hardware operating systems and applications
monitor and maintain computer systems and networks
talk staff or clients through a series of actions, either face-to-face or over the phone, to help set up systems or resolve issues
troubleshoot system problems and solving hardware or software faults
provide support, including relevant reports
set up new users' accounts and profiles and deal with password issues
work continuously on a task until completion
SEO
janv. 2015 - Jusqu'à présent
Conducting on-site and off-site analysis of your clients’ SEO competitors.
Using programs such as Google Analytics to compile regular performance reports.
Assisting the content team in the creation of high quality, informative SEO content.
The creation of on-site and off-site SEO strategies for clients in various industries.
Carrying out detailed keyword research according to the latest keyword strategies.
Keeping up to date with the most recent developments in Search Engine Marketing (SEM)
Freeelance Content Writer
janv. 2011 - Jusqu'à présent
Research industry-related topics
Write a clear marketing copy to promote products/services
Prepare well-structured drafts using Content Management Systems
Proofread and edit blog posts before publication
Submit work to editors for input and approval
Conduct simple keyword research and use SEO guidelines to increase web traffic
Promote content on social media
Identify customers’ needs and gaps in our content and recommend new topics
Update website content as needed
Éducation
BACHELOR OF DENTISTRY
(5 ans)
Publications
NEWS HEADLINES CLASSIFICATION USING PROBABILISTIC APPROACH
17th IEEE International Multi Topic Conference 2014
After analyzing a variety of existing news classification methodologies, a probabilistic framework is presented. The process is divided into three modules, headlines pre-processing module, probability learning module, and news headlines classification module. Work has been performed using the bag of words approach where each headline is split into words and each word is given a certain probability.
Publication URL: http://vfast.org/journals/index.php/VTCS/article/view/341/355
Requirement Engineering Process in Agile Software Development: Review
Research Journal of Computer and Information Technology Sciences
We have discussed about how we perform traditional requirement engineering in agile software development. On basis of literature, requirement-engineering is discussed in detail.
In addition to this, improvements/proposed ideas needed for application of Agile in distributed development environments are proposed effectively.
Publication URL: http://www.isca.in/COM_IT_SCI/Archive/v2/i5/1.ISCA-RJCITS-2014-035.pdf
News Classification Based On Their Headlines
IEEE INMIC 2014
. In this paper, we have discussed text classification process, classifiers, and numerous feature extraction methodologies but all in context of short texts i.e. news classification based on their headlines. Existing classifiers and their working methodologies are being compared and results are presented effectively.
Publication URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7097339
Probabilistic framework for short text classification
IEEE
The proposed classification model is composed of three major modules i.e. pre-processing of unstructured text, learning of probabilistic model, and the classification of unseen data by using the learned model. This framework is trained and tested by using a news headlines dataset containing six different news categories i.e. politics, sports, business, weather, showbiz, and terrorist.
https://ieeexplore.ieee.org/document/8301712/
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