Reviewing multimodal deep learning techniques for user-generated content analysis

Multi-modal review analysis has become an interesting research topic since the nature of reviews has morphed from a text-only feature to a text and image form. Since good reviews are essential for any product, e-commerce platforms thrive on helpful reviews which can successfully extract the right information about the product so that a buyer can make the right choice. As such, among the existing review analysis tasks, evaluating their helpfulness has become a predominant task. This research paper aims to explore different algorithms in the space of multimodal review helpfulness prediction (MRHP) aiming to analyze review helpfulness from text and visual modals. To evaluate the algorithms, two benchmark multimodal datasets have been used. Experimental results concur with the hypothesis that multimodal reviews not only provide more information regarding a product but are better suited to gauging a product’s utility and serving as a better metric for product marketing.Bachelor of Engineering (Computer Science

Impact of Urban Heat Island on Formation of Precipitation in Indian Western Coastal Cities

Rapid urbanization is leading to a drastic hike in anthropogenic activities and urban surface alterations. As a result, there are many repercussions, one of them being higher temperatures in urban areas when compared to rural areas. This phenomenon is termed Urban Heat Island (UHI). The impacts of urban surface characteristics, climate, and population density on UHI have been extensively studied. However, the influence of UHI on the local climate remains elusive. Relatively few studies demonstrate interrelation between UHI, population density, and unanticipated precipitation events. Therefore, it is important to comprehend the connection as it can impact extreme temperature events like heat waves and unanticipated precipitation events like flash flooding. The objective of this study is to investigate the association between UHI, population density, and precipitation in the summer and winter seasons in Indian Western Coastal Cities. To comprehend this association, a hypothesis test employing the Spearman rank correlation coefficient is conducted for 1991, 2001, 2011, and 2021. From the study, it is found that in summer, the surface temperature is directly proportional to population density and inversely proportional to precipitation. In winter the contrary relation is observed. This study also provides the seasonal variation and temporal evolution of the correlation among the parameters. This research will aid in making informed decisions for urban planning and addressing climate change. &nbsp