High-tech services in smart cities, ubiquity of smart phones, and proliferation of social media platforms have enabled social sensing, either through direct human observers or through humans as sensor carriers and operators, such as through the use of smart phones, cameras, etc. We performed a sentiment analysis (SA) and mined public opinion on the civil services and policing authority in a smart city. The establishment of high-tech policing in Lahore, Pakistan, known as the Punjab Safe Cities Authority (PSCA), Lahore, along with integrated command and control centers and various equipments, such as 8,000 cameras, monitoring sensors, etc., has resulted in a requirement for its performance evaluation and social media–enabled opinion mining to determine the broader impact on communities. Social sensing of civil services has been enabled through the presence of the PSCA on Facebook, Twitter, YouTube, and Web TV. The SA of the local civil services is not possible without taking into account the local language. In this article, we utilize machine learning techniques to perform multi-class SA of public opinion on policing authority and the provided civil services in both the local languages Urdu and English. The support vector machine provides the highest performance multi-classification accuracy of 86.87% for positive, negative, and neutral sentiments. The temporal sentiments are determined over time from January 2020 to July 2021, with an overall positive sentiment of 62.40% and a negative sentiment of 13.51%, which shows high satisfaction of policing authority and the provided civil services.

Trends are changing in retail sector in Pakistan retailers create new or make innovation in existing products and services to attract new customers and existing customers. Retail innovation is a key of success now a day’s, customer wants creativity and innovation not only in product development but also in services, promotional techniques and in environment or store atmosphere. The aim of this study is to identifying the relationship between retail innovativeness, customer values and customer loyalty, identify how customers perceive innovativeness of retailers and mediating role of consumer values, perceived retail innovativeness enhance consumer loyalty through customer values and faced some challenges hindering’s retail innovativeness. It is a consumer-based study. Data would be collected for study from 225 customers of the retail stores from 3 main cities of Pakistan, which will be select with convenience sampling technique and analysis will done under statistical techniques.