Researcher, Data Scientist
King Abdullah University of Science and Technology (KAUST)
Total years of experience :0 years, 9 Months
1. Categorize Plain Text Documents based on their Domain. A domain of a document is specified based on a set of concepts extracted from various sets of training documents.
2. Development Language: Python
3.Using Machine learning, Text mining, Natural language processing, and Concept extraction techniques to develop the model.
Examples: Clustering and Classification Techniques
4. Scoring Technique: Term frequency_Inverse document frequency (TF_IDF)
1. An internship based experience with a team of 3 members
2. The main task: developing a friendly interactive Web-application report for Project Implementation Assessment.
The task involves the creation of web services that use ASP.NET and c# programming language
3. Development tools: Microsoft InfoPath 2007, Microsoft SQL Server 2008, and Microsoft Visual Studio 2008