Urdu is the 8th largest spoken language in the world with more than 140 million speakers in subcontinent. It is national language of Pakistan and official language of six Indian states. Despite its abundant usage, the research work in Urdu language is scarce in terms of electronic linguistic tools and resources such as Named Entity […]
Natural Language Processing is a growing field of Artificial Intelligence and used for interaction between computers and humans. In NLP, negation is of great importance as it changes the polarity of a sentence. Recognition of Cue and scope during negation detection is an important aspect. Research work has been reported in Negation Detection for English […]
The prediction of movies popularity is challenging problem. Movies prediction is a hot topic for movie makers, producers, directors, production houses and also there is a large amount of data related to the movies is available over the internet, because of that much data available, it is an interesting data mining topic. Every viewer, producer, […]
Machine learning algorithms have great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. Since medical diagnostic decision support systems have become more popular in clinical routine, it is critical to decide the best model to provide reliable machine learning techniques in diagnostic problems. The purpose of my research thesis is […]
Retaining customers is an important challenge for the telecom industry in this day and age. The changing behavior of the users and the type of services being offered every day makes it difficult to predict the churners. Thus the service providers find it more convincing to retain an ongoing customer rather than running after new […]
Significant progress has been made in the field of Writer identification and Signature Verification. Handwriting Analysis can be applied for classifying age, gender and nationality. Writer Recognition through handwriting analysis can be divided into two categories: online and off-line. On-line character recognition involves the identification of characters while they are written and deals with time […]
Advent of pervasive computing (smart phones, note books, tablets, kindles) has made a huge change regarding access to information in developing countries. However, Input devices, specifically keyboards are still mostly English-Based. This has given rise to Romanization of languages and same is the case with Roman Urdu which is commonly used for typing text messages […]
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 […]