Adil Khan

Mining social network data and developing user profile from unstructured and informal data are a challenging task. The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations. Publicly available tweets are fetched and classified and sentiments expressed in tweets are extracted and normalized. This research uses domain-specific seed list to classify tweets. Semantic and syntactic analysis on tweets is performed to minimize information loss during the process of tweets classification. After precise classification and sentiment analysis, the system builds user interest-based profile by analyzing user’s post on Twitter to know about user interests. The proposed system was tested on a dataset of almost 1 million tweets and was able to classify up to 96% tweets accurately.

The Ahmadiyya Muslim community represents the followers of Mirza Ghulam Ahmad, a charismatic leader whose claims of spiritual authority brought him into conflict with most other Muslim leaders of the time. The controversial movement originated in rural India in the latter part of the 19th century and is best known for challenging current conceptions of Islamic orthodoxy. Despite missionary success and expansion throughout the world, particularly in Western Europe, North America, and parts of Africa, Ahmadis have effectively been banned from Pakistan. Adil Hussain Khan traces the origins of Ahmadi Islam from a small Sufi-style brotherhood to a major transnational organization, which many Muslims believe to be beyond the pale of Islam