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Introduction
NURUL SYAFIDAH JAMIL holds a Bachelor in Information Technology (Majoring Software Engineering) and Master in Information Technology (Text Mining-Topic Identification) from Universiti Utara Malaysia. She is currently pursuing her PhD in the same university. Her research interest is Natural Language Processing, Sentiment Analysis, Syntactic Analysis, Social Media Predictive Analysis, Machine Learning, Data Structure and Algorithms.
Current institution
Publications
Publications (5)
The trend of people in using social media services to share
personal thoughts has caused textual data to grow
exponentially. However, uncontrolled negative discussions
on social media can lead to generating social tension and
facilitate public gathering in real life. User generated
contents on social media can be explored to reveal insights to
the...
The analyzing and extracting important information from a text document is crucial and has produced interest in the area of text mining and information retrieval. This process is used in order to notice particularly in the text. Furthermore, on view of the readers that people tend to read almost everything in text documents to find some specific in...
Textual document is usually in unstructured form and high dimensional data. The exploration of hidden information from the unstructured text is useful to find interesting patterns and valuable knowledge. However, not all terms in the text are relevant and can lead to misclassification. Improper filtration might cause terms that have similar meaning...
