دیکھو کب سے گم بیٹھا ہے
جانے کس کو سوچ رہا ہے
جانے تیرے دل میں کیا ہے
مجھ کو سمجھ نہیں آتا ہے
میں تو مدّت سے تنہا ہوں
حیرت سے کیوں دیکھ رہا ہے
دل میں سارا کرب چھپا کر
اک کورا کاغذ بھیجا ہے
پیار ، محبت کرنے والا
کورا کاغذ پڑھ سکتا ہے
دل اجڑا سا اسٹیشن ہے
اور اک شخص وہاں اترا ہے
جب تُو پہلی بار ملا تھا
تب سے تُو دل میں رہتا ہے
ساہی وال کو جاتے رستے
تُو کتنا اچھا لگتا ہے
ساہی وال محبت میری
یہ میرے دل میں بستا ہے
Islam is the religion of welfare. It emphasizes on accomplishing the rights of human beings concurrently the rights of Allah. Similarly, the government and the member of society jolted regarding this collectively. And everyone is stimulated concerning his responsibilities and adjudges the followers just like one body. Islamic community is just like a cooperative society. It is a duty of everybody to assist the deprived not only financially but also ethically. Until, to meet affably is declared charity. The leader of Islamic state is the responsible for the welfare of everybody. Rather he is bound to feed every being. That is why Haḍrat ʻUmar said that he is liable in the Day of Judgment if a dog is died due to starvation in his regime. In the research paper, the concept of welfare has been manifested in the light of Sīrat-al-Nabī. The method adopted for the research is qualitative as well as descriptive. The Holy prophet urged the believers of Islam on mutual assistance in adverse times. In disaster situations, the responsibilities of every Muslim increase and he should devote his intention tooth, nail and body to rescue.
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.