Soni Sweta

Narsee Monjee Institute of Management Studies · Computer Science & Engineering

This chapter illustrates an in-depth study about the contemporary Sentiment Analysis tools and techniques and different approaches, elaborates how researchers, administrator, educators, and other stakeholders may use this capability to extract significant insights from large datasets. It identifies the key methodologies, models, and algorithms appl...

The emerging trends of Sentiment Analysis has revolutionized the Educational Data Mining and transformed the other industries through its adaptive applications. It worked as a catalyst to speed up the further studies for further refinements. This book chapter analyses multifaceted applications of Sentiment Analysis in education, explores its signif...

The book chapter titled “An Overview of Sentiment Analysis and Educational Data Mining” provides a comprehensive overview of two critical areas in data analysis: sentiment analysis and educational data mining including types of Sentiment Analysis and Its advantages. With the help of natural language processing, Sentiment Analysis has shown the capa...

The book chapter titled “Application of Sentiment Analysis in Diverse Domains” basically covers the applications and uses in all important areas like business, finance, marketing, healthcare, education and many more. Being futuristic concept, its benefits apply across the various domains with same intensity. The capturing of learner’s feeling expre...

The book chapter, “Emerging Trends and Challenges in Educational Sentiment Analysis,” discusses a comprehensive exploration of the evolving landscape where Sentiment Analysis integrates with the field of education. The chapter explains with a thorough literature review, provides a nuanced understanding of the historical context and offers foundatio...

Objective Otomycosis is a common fungal ear infection in tropical and subtropical regions worldwide. This study aimed to perform mycological analysis on fungal debris from the external auditory canals of the patients to study the most common clinical presentation and fungal species distribution in otomycosis. Materials and Methods Patients who met...

In this era of development, people from rural areas are moving to toward cities in a huge number. The increasing population in cities and the fast rate of urbanization are now forcing the cities to switch to smart cities. In smart city, Information Technology is performing a huge responsibility in building smart cities and the implementation is sup...

Adaptive e-learning system is widely accepted system in which learners get information as per their own preferences either hidden or expressed. Hence, adaptive learning process maximizes learning and helps learners to achieve the course targets successfully in a lesser time and in a very cost-effective manner. It has immense capability to diagnose...

The detailed studies in this chapter give clear picture of the different learning styles, their detection methodologies, related frameworks and models, aggregation processes. The data mining techniques revealed the contemporary applications, different possibilities, and scope to reduce shortcomings in adaptive e-learning. The journey of development...

Reviewing by and large more than 150 research papers, studies minutely observed the different learning styles, their detection methodologies, related frameworks and models, aggregation processes. The data mining techniques used in these studies had revealed the contemporary applications, different possibilities, and scope to reduce shortcomings in...

Combination of identified learning styles with cognitive parameters including motivational and knowledge ability factors give a unique combination of learning style preferences. Personalization provides according to the preferences. This is an automatic detection system in which such combination changes dynamically and hence adaptively provided acc...

There is dearth of good teachers

This chapter discusses a framework in which personalized adaptation is constructed with the help of Personalized Adaptive Learner Model (PALM). In the model, individual learners’ characteristics are taken into consideration in the specified modules. The functional details of each and every module are given in this chapter that works in synchronizat...

The concept of personalized adaptive learner model (PALM), learning style diagnostic module (LSDM) and behavior monitoring module (BMM) is introduced. Learning objects are identified, concept values of each of learning objects are provided, and interconnections are loaded with fuzzy weights. For the sake of human-related data analysis, soft computi...

This book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system. Lear...

The main objective of Learning Analytics is to collect, interpret and investigate the information for setting proper co-relation to improve the students’ learning experiences. As the popularity and demand of learning analytics are on rise, higher education is continuously moving from offline to online E-Learning Educational System. It has been furt...

Each learner has unique learning style in which one learns easily. It is aimed to individualize the learning experiences for each learner in e-learning. Therefore, it is important to diagnose complete learners’ learning style and behaviour to provide suitable learning paths and automated personalized contents as per their choices. This paper propos...

Learner’s behaviour modelling is a very challenging task in e-learning system because every learner has a unique learning style, preferences, knowledge and goals. In this paper, we develop Adaptive Personalized Intelligent e-Learning tool (APIE) which dynamically adapts the learning contents and provides responses according to the preferences and l...

The e-learning system generates huge amount of data which contain hidden and valuable information and they are required to be explored for useful knowledge for decision making. Learner’s activity related data and all behavioral vis-a-vis navigational data are stored in the log files. Extracting knowledgeable information from these data by using Web...