Browse Items (11858 total)
Sort by:
-
CONTENT ANALYSIS OF FILMS BASED ON FRIENDSHIP (BOLLYWOOD FILMS)
Film depicts various instances and situations pertaining to reality. The particular dissertation is a study to know about the representation of friendship in Hindi movies. The content of the film have been studied and analysed to the portrayal of friendship in the movies and also how it is associated with the people in reality. The study has also analysed the social and other issues prevailing in the society with relation to the friendship shown in the film. It tries to analyse different situations and issues which affects friends and their friendship, shown in the films -
CONTENT ANALYSIS OF SATYAJIT RAY NOVELS FELUDA AND ITS ADAPTATION INTO FILMS ON THE BASIS OF NARRATOLOGY
Feluda or Prodosh Chandra Mitra is a fictional private investigator starring in a series of Bengali novels and short stories written by Indian Bengali film director and writer Satyajit Ray. Feluda first made his appearance in a Bengali children's magazine called Sandesh Subhas Mukhopadhyayin 1965, under the editorialship of Satyajit Ray and . His first adventure was Feludar Goendagiri. The researcher seeks to find out whether or not the books on Feluda have been done justice to when adapted into films by Satyajit Ray himself and his son Sandip Ray. This research will also throw light on the characters of Feluda series -whether they are lost or not. The researcher will conduct a qualitative research which includes an extensive study of the novels and the adapted films. -
Content analysis of Shyamprasad films /
Shyamaprasad is a renowned Malayalam film maker popular for his unique and refreshing style of film making. He is well known for the themes he employs in his films which make them stand apart. This research consists of an in depth analysis of all twelve films made by the film maker using various parameters. The parameters that are considered are themes, characters, underlying ideas, setting, conflicts and emotions. -
Content analysis on coverage of wildlife issues by popular english and kannada newspaper of Bengaluru /
The ever increasing human population and unplanned developmental work across the globe has caused a major threat to the biodiversity. Poaching, loss of wild habitat due to encroachment of forestlands have put many animal and plantspecies in the verge of extinction, the most recent being the Western black rhinoceros, a subspecies of the black rhinoceros that was declared as extinct by the International Union for Conservation of Nature and Natural Resources (IUCN) in the year 2011.The current destruction of the remaining wild habitats across the globe seeks protection and effective conservation strategies. Print Media, especially newspaper play an important role in creating awareness about wildlife issues and also mitigating in problems. -
CONTENT ANALYSIS ON NEW GENERATION MALAYALAM CINEMA
The study analyses the influence of new generation Malayalam cinema and the trend of new generation cinema in Malayalam film industry. In the new generation films, realism has been given preference. The preferred portrayals are of death, blood, conceit, adultery, jealousy, cunningness, unfaithfulness and sorrow. It aims to analyse how the new generation affects the Malayalam cinema and its pattern of story or plot used by the industry. The researcher used content analysis to find out the similarities and common similarities from the four films. Through the content analysis and qualitative research we can find out that the plot or the way of stories were moving in the same direction. -
CONTENT ANALYSIS ON THE REPRESENTATION OF SOUTH INDIAN-NESS IN BOLLYWOOD SONGS
Cinema is an ever growing industry. As new generations keep increasing the family tree, so does new celebrities emerge in this film fraternity. There is no end to cinema. But there is always a deadline that every celebrity meets. One wrinkle and out you go! That is precisely the formula applied in this industry. The whole research is analysed in terms of the South Indian-ness that is present in nineteen Bollywood Songs. According to the researcher, South Indian-ness means the south Indian factors that touched upon in the Bollywood movies. Those factors can be the languages, traditional attires, locations, music, etc. There are certain features that make a place unique from the others. That is the basic difference that is created which has lead to two terms ?? North India and South India. Without these differences we would have been called as ??India. -
Content Based Deep Factorization Framework for Scientific Article Recommender System
With the advancement in technology and the tremendous number of citations available in the digital libraries, it has become difficult for the research scholars to find a relevant set of reference papers. The accelerating rate of scientific publications results in the problem of information overload because of which the scholars spend their 70% of the time finding relevant papers. A citation recommendation system resolves the issue of spending a good amount of time and other resources for collecting a set of papers by providing the user with personalised recommendations of the articles. Existing state of art models do not take high-low order feature interactions into consideration, due to which the recommendations are not up to the desired level of performance. In this paper, we propose a content-based model which combines Deep Neural Network (DNN) and Factorization Machines (FM) where no pre-trainings are required for providing the citation recommendations. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Content Based Scientific Article Recommendation System Using Deep Learning Technique
The emergence of the era of big data has increased the ease with which scientific users can access academic articles with better efficiency and accuracy from a pool of papers available. With the exponential increase in the number of research papers that are getting published every year, it has made scholars face the problem of information overload where they find it difficult to conduct comprehensive literature surveys. An article recommendation system helps in overcoming this issue by providing users with personalized recommendations based on their interests and choices. The common approaches used for recommendation are Content-Based Filtering (CBF) and Collaborative Filtering (CF). Even though there is much advancement in the field of article recommendation systems, a content-based approach using a deep learning technology is still in its inception. In this work, a C-SAR model using Gated Recurrent Unit (GRU) and association rule mining Apriori algorithm to provide a recommendation of articles based on the similarity in the content were proposed. The combination of a deep learning technique along with a classical algorithm in data mining is expected to provide better results than the state-of-art model in suggesting similar papers. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Content suggestion in e-learning
Self ??directed e-learning focuses on the independent learner one who engages in education at his own space free from curricular obligation. In this research, user's access interests were introduced into the design of a recommendation framework by using web browsing behaviour of the user. According to the user's access interest the recommendation framework can provide users with personalised information. The research thesis is to determine if users access interest can be extracted and to associate users access interest with other attributes to design a recommendation framework that attempts to recommend the information items, here the research papers to a researcher searching for interesting topics of research in her field. The proposed system is very useful to the new researchers as initially they are not aware of the research areas where they can work on. This system assists the researcher in searching the papers they are interested to search. The documents of interest to the user are used to build the user profile and this profile is used to re-rank the web search results. The paper presents the overall architecture of the proposed system and its implementation via a prototype design. In this dissertation an attempt is made to design a system prototype which will recommend the information items to the user according to the user access interest, which is captured from the web browsing behaviour of the user. The content similarity of the information items is also taken into consideration. The information items are suggested to the user based on the relevance. The organization of the thesis is done into various chapters. Introduction contains the brief introduction about personalisation services in e-learning scenario, recommender systems in e-learning. Literature review discusses about the web-based self-directed e-learning and the works done in the field of recommender systems in e-learning. Chapter 3 discusses the methodology adopted to design the system. In chapter 4 results are being analysed and discussed. Chapter 5 gives the future enhancement that can be done to the system design. -
Content-Based Music Recommendation Using Non-Stationary Bayesian Reinforcement Learning
This paper presents a music recommendation system for the offline libraries of songs that employs the concepts of reinforcement learning to obtain satisfactory recommendations based on the various content-based parameters. In order to obtain insights about the effectiveness of the generated recommendations, parallel instances of single-play multi-arm bandit algorithms are maintained. In conjunction to this, the concepts of Bayesian learning are considered to model the user preferences by assuming the environment's reward generating process to be non-stationary and stochastic. The system is designed to be simple, easy to implement, and on-par with user satisfaction within the bounds of the input data capabilities. Copyright 2021, IGI Global. -
Content-Restricted Boltzmann Machines for Diet Recommendation
Nowadays, society is leading towards an unhealthy and inactive and lifestyle. Recent studies show the rapid growth of people suffering from diseases caused due to unhealthy lifestyles and diet. Considering this, recognizing the right type and amount of food to eat with a suitable exercise set is essential to obtain good health. The proposed work develops a framework to recommend the proper diet plans for thyroid patients, and medical experts validate results. The experiments results illustrate that the proposed Content-Restricted Boltzmann Machines (Content-RBM) produces more relevant recommendations with content-based information. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Context Driven Software Development
The Context-Driven Software Development (CDSD) is a novel software development approach with an ability to thrive upon challenges of 21st century digital and disruptive technologies by using its innovative practices and implementation prowess. CDSD is a coherent set of multidisciplinary innovative and best practices like context-aware and self-adaptive system modelling, human-computer interaction, quality engineering, software development-testing-and continuous deployment frameworks, open-source tools-technology-and end-to-end automation, software governance, engaging stakeholders, adaptive solutioning, design thinking, and group creativity. Implementation prowess of CDSD approach stems from its three unique characteristics, namely, its principles, Contextualize-Build-Validate-Evolve (CBVE) product development element, and iterative and lean CDSD life cycle with Profiling, Contextualizing, Modelling, Transforming, and Deploying phases with in-process and phase-end Governance and Compliances. CDSD approach helps to address issues like complexity, software ageing, risks related to internal and external ecosystem, user diversity, and process-related issues including cost, documentation, and delay. 2021, Springer Nature Switzerland AG. -
Context matters: A case study of community development approaches in tribal areas
Tribal development initiatives aim to address aspects of marginality covering educational, occupational, social and political dimensions. A review of literature on the challenges in effective tribal development discusses narrow vision, implementation strategy, the attitude of people involved in the implementation and lack of community participation as hindrances in realising the desired goals. This chapter explores the need to have a context-specific approach to realise the community development goals in tribal areas considering the cultural and economic diversity of Scheduled Tribes in India. A single embedded case study has been used to understand tribal development initiatives in the three project sites, namely Manikgarh, Maharashtra; Bastar, Chhatisgarh and Niravilpuzha, Kerala. All these projects aim at the overall development of the community either through a child-centred approach or through a self-help approach. A constructive outcome-based evaluation model has been used in analysing the developmental approach, and in-depth interviews and FGDs were conducted with the project staff. An attempt has been made to study the impact on direct beneficiaries at micro, meso and macro levels. It explores the ways in which universities could become change agents through socially responsible engagements in tribal areas. This chapter would contribute towards developing a social responsibility model for other universities to emulate. 2024 Nova Science Publishers, Inc. -
Contextual Recommendation System: A Revolutionary Approach Using Hadoop, Spark, NLP and LLMs
This study presents a novel framework for contextual recommendations on platforms like Wikipedia, integrating Hadoop, Spark, NLP, and LLMs. Leveraging these technologies, the framework aims to enhance user experiences by delivering personalized article suggestions aligned with their current interests. Through scalable data processing, advanced NLP techniques, and LLM-powered semantic understanding, the framework offers a transformative approach to recommendation systems, promising to revolutionize knowledge exploration on digital platforms. 2024 IEEE. -
Continuance Intention of ChatGPT Use by Students
ChatGPT, an AI language model, has gained significant attention for its potential to enhance educational experiences and foster interactive learning environments. The potential of student interaction via ChatGPT has engendered significant debate around educational technology. It is apparent that the current literature has yet to fully explore the role of ChatGPT in management education. Amidst the increasing integration of ChatGPT into educational contexts, the concept of continuance intention takes center stage. This research paper delves into the nuanced landscape of students continuance intention regarding the use of ChatGPT in educational settings. We ground our study in Technology Continuance Theory and Theory of Planned Behavior to examine students continuance intention to use ChatGPT. By investigating the determinants that shape this intention, we aim to provide insights that inform educators and educational technology designers in optimizing the integration of AI-driven tools like ChatGPT. This study contributes to the growing body of research at the intersection of AI and education, offering valuable implications for both theory and practice. 2024, IFIP International Federation for Information Processing. -
Continuity and changes in food consumption pattern among Tibetan refugee community in India
The Food consumption pattern of refugee communities is being carried out by many scholars and few acknowledged the food continuity, its implications on the health of refugees in the host country. The present study highlights food continuity among Tibetan refugees in the Bylakuppe settlement, India. 200 household data were administered to understand food consumption patterns by employing a structured household questionnaire. Simultaneously, 23 individual data were collected consisting of first migrants (15) and second-generation (8) for the qualitative study. Households derive energy mainly from carbohydrates and animal fats, and there is a prevalence of food insecurity among the Tibetan community. It is a proven fact that food insecurity will have serious health consequences in terms of emotional and mental well-being and suggest the need for further study of food insecurity among Tibetan refugees across the world. 2021 -
Continuous emotion estimation for human machine interaction
Humans are able to interact and bond very efficiently with other species because every living organism has some form of emotion in them. Due to the advances in science and technology human life has become more dependent on machines for better living. The recent advances in technology enabled machines to become smarter but not efficient in terms of interaction with humans. Hence to address this issue and to bridge the gap between human machine interactions we propose a system to estimate human emotions from facial expressions. We believe that facial expressions are a form of nonverbal communication and primary means of conveying information. The system uses linear regression model to calculate emotional state of a facial expression which is mapped onto continuous 2-D coordinates with arousal and valence as axis from a captured digital image. Thus the proposed method estimates emotion continuously and predictively like humans rather than classifying the emotions because emotions are continuous and they have many dimensions. By estimating emotions continuously machines can better interact with humans. Experimental results showed that our system provides superior predictive performance. 2015 American Scientific Publishers. All rights reserved. -
Contradictions in conservation: Indias forest (Conservation) Amendment Bill, 2023
[No abstract available] -
CONTRARIAN AND MOMENTUM STRATEGIES IN THE INDIAN STOCK FUTURES MARKET: A STUDY ON BANKING SECTOR
This thesis tries to investigate the contrarian and momentum strategy can help the investors to lay down the major guidelines for undertaking any derivative transaction. Contrarian strategies are based on the reversal pattern in stock returns and imply buying past losers and selling past winners. On the contrary, Momentum strategies are based on the continuation pattern in stock returns and imply buying past winners and selling past losers. For the purpose of analysis, the stock returns for the Indian stock futures market segment for Indian banking sector for the period from July 1, 2005 to June 30 2011 by using the Fama and French multifactor model. The Fama-French model involves the use of three factors for explaining common stock returns: the market factor proposed by the CAPM, and factors relating to size and value. The company used in this research consists of 16 Banks which were ranked in an ascending order based on their average returns. The ranked securities are then used to form five equal portfolios. While portfolio P1 contains the bottom 20 per cent securities and is called "losers' portfolio," portfolio P5 contains the top 20 per cent securities and is termed as "winners' portfolio." The findings suggests that the stock-return behavior in banking sector for short-term momentum profits and long term contrarian profits exist in this case. Further, the contrarian trading strategy based on long term returns provides moderately positive payoffs and short-term returns show a continuation pattern and the investment strategy based on momentum effect provides significantly high returns. Finally, the study generally supportive of the Fama-French model applied to Indian futures stock market related to banking sector. Keywords: Contrarian, Momentum, Stock Returns, CAPM, Fama-French Model JEL Classification: C12, C22, E43, G11 -
Contribution of media towards body image dissatisfaction in men /
The thesis tries to explore and find out how media has been a contributing factor in the phenomenon of body image dissatisfaction prevalent amongst the male population. With the advent of technology, advertising and promotion of male grooming products has become aggressive and relentless. The phenomenon of body image dissatisfaction has existed for a long time amongst the female population but with passing time it has caught onto the men also.