The problem of Spam in SMS (Short Messages) and online social media is growing. Application of machine learning techniques for spam checking is quite an interesting area. Furthermore, the recent popularity of social media such as Twitter and Facebook etc. has made these platforms a major medium of interaction among society and therefore, spams have […]
The major challenge faced by Law Enforcement agencies is quickly and efficiently analyzing voluminous amount of data for proper investigation process. Crime affects our society dearly in many different ways and to control such nuisance a system is required that analyze data proficiently, determine hidden patterns in data and perform crime forecasting. Our research makes […]
This thesis presents an approach towards bilingual sentiment analysis of short messages data retrieved from twitter. Social networks evolved to become one of the most advanced and widespread communication medium of the modern era. They also serve as multi-cultural and multi-lingual information centers. Information analysis of these social networks can help in designing better government […]
Analytic business applications are the trend defining applications that define the worth of data at a particular time. For any business organization it is important to keep record and log every day business activities, strategies and the reasons behind a decision. These may be the ingredient to a wiser business decision in future. In traditional […]
Parallel programming is an emerging trend for writing parallel applications for compute clusters with multiple processing cores not only for the scientific community but also for the research students and industry. Message Passing Interface (MPI) has emerged as a de facto standard for writing parallel applications as a programming language independent communication protocol which provides […]
Qur’an, being the highest authoritative source of the Divine knowledge and wisdom has been widely and deeply studied, analyzed, memorized and recited by Muslims as well as non-Muslims in the past centuries. With the advancement in the Information Technology, a number of Information Retrieval, multimedia and Natural Language Processing (NLP) tools have been developed for […]
Low power and lossy networks (LLNs) is an active area of research due to their large number of potential applications in different environments like health, environment monitoring and entertainment domain. Many protocols are proposed for routing in these networks. IETF has done one major contribution as it has developed a proactive gradient based routing protocol […]
