53 research outputs found
Gender identification of egyptian dialect in twitter
No full textDespite the widespread of social media among all age groups in Arabic countries, the research directed towards Author Profiling (AP) is still in its early stages. This paper provides an Egyptian Dialect Gender Annotated Dataset (EDGAD) obtained from Twitter as well as a proposed text classification solution for the Gender Identification (GI) problem. The dataset consists of 70,000 tweets per gender. In text classification, a Mixed Feature Vector (MFV) with different stylometric and Egyptian Arabic Dialect (EAD) language-specific features is proposed, in addition to N-Gram Feature Vector (NFV). Ensemble weighted average is applied to the Random Forest (RF) with MFV and Logistic Regression (LR) with NFV. The achieved gender identification accuracy is 87.6%. Keywords: Text classification, Egyptian Arabic, Gender identification, Author profiling, Gender annotated datase
Impact of Economic, Social and Meteorological Factors on Load Forecasting in Different Timeframes-A Survey
No full textIntegrating Edge-Based Stereo and Structured Light for Robust Surface Reconstruction
No full textWe present a trinocular stereo vision technique that can be used to build a fast, robust 3-D description of the environment. The proposed technique merges a range image obtained by edge-based stereo with another range image obtained using structured light. In edgebased stereo technique, we utilize the geometrical constraints of the trinocular vision system and consider the uncertainty of image measurements. The edgebased stereo builds a faithful reconstruction of the fixed edges of the surface while the structured light enables us to obtain a 3-D description for smooth surface regions. Integrating these two types of range images improves the accuracy of the reconstructed surfaces and makes it applicable to different types of surfaces. The technique has been successfully applied to several indoor scenes. The reliability and speed of the proposed system make it particularly suitable for real-time applications such as robots and automatic vehicle navigation. 1 Introduction During the l..
WikiAutoCat: Information Retrieval System for Automatic Categorization of Wikipedia Articles
No full text
- …
