پاکستانی جامعات میں سامی مذاہب پر علومِ اسلامیہ کے(ایم فل ،پی ایچ ڈی) اردو سندی مقالات کا اشاریہ و شماریاتی جائزہ

Urdu Dissertations of Islamic Studies on Semitic Religions (MPhil, PhD) in Pakistani Universities: An Index and Bibliometric Review Study of religions or Comparative Religions is a globally significance subject. Pakistan is also resourceful in this field. In many universities, there are special departments on this valuable subject. It is taught as compulsory course at BS & MA level in the departments of Isalmic studies in all universities. In many universities it’s also taught at MPhil and PhD level, some of them have produced hundreds of MS and PhDs dissertations on this subject. Due to its importance, it was a dire need to review and compile the titles of theses and dissertations, which are produced from the universities on the subject. In this study, efforts are made to review and compile a comprehensive index of such theses at MPhil and PhD level from Pakistani universities with statistical analysis. Due to its huge amount, the data is divided into two major types, Semitic and non-Semitic religions. The current study covers only Semitic/ Revealed and related topics. The word Semitic refers to the race of the son of Prophet Noah (A.S) or the areas where this race was spread and grew. Semitic Religions consists of; Judaism, Christianity and Islam. In this study, Biblometric approach is adopted with mix method approach. Total 393 theses of Islamic Studies on Semitic Religions are compiled and statistically evaluated in this paper. The study concludes that a good deal of literature and dissertations are available in Pakistani universities on Comparative Religions and Interfaith Studies. It is recommended that contents of theses should be analyzed for improvement of the Study of Religions in Pakistan

Location Based Sentiment Mapping of Topics Detected in Social Media

Social media has risen as a powerful social link among people. It gives them an easy, unsupervised, rapid and flexible platform for sharing information with each other. It serves like a virtual environment where there is no direct or indirect executive power to dictate their opinions. They feel free to appreciate or criticize the actions of others. That is why social media posts carry true reflection of public feelings over any social event. This very nature of social media content makes it a valuable asset for research community to dig deeper and find meaningful concerns out of its huge chunks. This research work explores how people across different regions of Pakistan think about any social media topic. The research work proposed a model to extract spatial, topical and sentimental information of social media posts and combine them together to perform location-based sentiment mapping of the topics detected in social media. The study area has been restricted to Pakistan.The research work started with collection of tweets using streaming API of the Twitter. The information contained in a 3rd party dataset worldCities was used to filter out Pakistani tweets and perform indirect conversion of user profile location into geo-location, as geo-location was directly not available with tweets. Probabilistic topic model; Latent Dirichlet Allocation (LDA) was used to extract latent topics from the dataset. CRAN library was used for sentiment classification of the tweets into 3 classes: positive, negative and neutral. The processed dataset was uploaded to a persistent storage Google Drive and then imported into a web based interactive self-written Shiny Application to read geo-spatial, topical and sentimental information of the tweets from processed dataset and produce interactive geographical map. The interactive geographical map has also been supported by heatmap, scatter plots, bar graphs and pie charts in order to enhance visualization process. The novelty of this research work is its location-based visualization of the strength of public opinion on any emerging event or topic in Pakistan.