تجاوز إلى المحتوى الرئيسي
User Image

Nora S. AlTwairesh

Assistant Professor

Head, Information Technology Department

علوم الحاسب والمعلومات
KSU Female Campus - Building 6 T121
المنشورات
ورقة مؤتمر
2017

AraSenTi-Lexicon: A Different Approach

With the spread of social media, the demand for automated systems that analyze these massive amounts of data on the Web is increasing. One domain for these systems is sentiment analysis(SA). SA is designed to extract sentiment from text; this is often accomplished by using lexicons that indicate the sentiment polarity of words. While there are many English lexicons that are available, there is a lack of Arabic lexicons. In previous work, an attempt was made to generate an Arabic sentiment lexicon extracted from Twitter using the Pointwise Mutual Information (PMI) statistical method. In this paper, we extend the work by using two different statistical approaches: Chi-Square and Entropy to generate the lexicons. Intrinsic and extrinsic evaluation was conducted to compare the three lexicons. The results showed the superiority of PMI.

اسم المؤتمر
Social Computing and Social Media. Applications and Analytics. SCSM 2017
مزيد من المنشورات
publications

The field of natural language processing (NLP) has witnessed a boom in language representation models with the introduction of pretrained language models that are trained on massive textual data…

publications

Approaches for developing Dialogue Systems (DSs) are typically categorized into rule-based and data-driven. Data-driven DSs require a massive quantity of training data, while rule-based DSs rely…

2021
publications

Over the past few years, Twitter has experienced massive growth and the volume of its online content has increased rapidly. This content has been a rich source for several studies that focused on…

2021