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Hybrid approach: Naive bayes and sentiment VADER for analyzing sentiment of mobile unboxing video comments
Revolution in social media has attracted the users towards video sharing sites like YouTube. It is the most popular social media site where people view, share and interact by commenting on the videos. There are various types of videos that are shared by the users like songs, movie trailers, news, entertainment etc. Nowadays the most trending videos is the unboxing videos and in particular unboxing of mobile phones which gets more views, likes/dislikes and comments. Analyzing the comments of the mobile unboxing videos provides the opinion of the viewers towards the mobile phone. Studying the sentiment expressed in these comments show if the mobile phone is getting positive or negative feedback. A Hybrid approach combining the lexicon approach Sentiment VADER and machine learning algorithm Naive Bayes is applied on the comments to predict the sentiment. Sentiment VADER has a good impact on the Naive Bayes classifier in predicting the sentiment of the comment. The classifier achieves an accuracy of 79.78% and F1 score of 83.72%. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Sustainable Management of Exotic Fish Biodiversity in Karnataka: Status, Challenges, and Threats
Fish biodiversity, a significant part of the aquatic ecosystem, has been studied widely in India. However, the distribution and diversity of fish species have not been well-researched at the state and/or regional levels. Karnataka is bestowed with 8% of the countrys water resources, which are under extreme pressure because of unregulated population growth, biological invasion, and developmental requirements. Since the middle of the nineteenth century, India has been introducing alien species to its water bodies. Currently, 13.6% of the fish diversity in India is exotic and has been established voluntarily or involuntarily for various purposes. The establishment of invasive alien fishes negatively influences native fish communities around the globe. In general, most publications present the latest status of ichthyofauna in several regions of Karnataka; however, there is no up-to-date documentation on strategic environmental developments and unforeseen challenges, such as invasive alien species (IAS). This study reconstructs existing knowledge while analytically reviewing challenges, potential management techniques, advancements, and the impacts of climate change and disseminates the data necessary for the comprehension of the biological invasion of IAS. 2024, Indian Society for Ecological Economics (INSEE). All rights reserved. -
ON THE GENERALIZED COMPLEMENT OF SOME GRAPHS
In this paper we study the generalized complement of the graph Gm,n = (V, E) for some values of m, n. We study the generalized complement of Gm,n graphs with respect to the equal degree partition. The 2?complement of Gm,n graphs are also determined for m = 2, n is even or odd. In particular, for some values of m, n ? N, we studied the complement of Gm,n graphs with respect to the equal degree partition and the 2?complement of Gm,n graphs. We determine the partitions Pk, k ? N of the vertex set V such that the generalized complement of Gm,n graph is a path graph and a comb graph. 2021, Asia Pacific Academic. All rights reserved. -
A survey on the intersection graphs of ideals of rings
Let L(R) denote the set of all non-trivial left ideals of a ring R. The intersection graph of ideals of a ring R is an undirected simple graph denoted by G(R) whose vertices are in a one-to-one correspondence with L(R) and two distinct vertices are joined by an edge if and only if the corresponding left ideals of R have a non-zero intersection. The ideal structure of a ring reects many ring theoretical properties. There is so much research that has been conducted during the last decade to explore the properties of G(R). This is a survey of the developments in the study on the intersection graphs of ideals of rings since its introduction in 2009. 2022 by the authors. -
A STUDY OF AN UNDIRECTED GRAPH ON A FINITE SUBSET OF NATURAL NUMBERS
Let Gn = (V, E) be an undirected simple graph, whose vertex set comprises of the natural numbers which are less than n but not relatively prime to n and two distinct vertices u, v ? V are adjacent if and only if gcd(u, v) > 1. Connectedness, completeness, minimum degree, maximum degree, independence number, domination number and Eulerian property of the graph Gn are studied in this paper. 2022, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved. -
Unpaid Work by Women: A State-level Analysis of Evidence from Time-use Survey
Low and declining female labour force participation in India over the past two decades has turned attention to the high unpaid work time spent by women. The question, however, remains whether women spend more time on unpaid work because there are not enough jobs or whether it is time spent on unpaid work that is holding them back from participation in the labour force. Against this backdrop, the present article explores Indias nationally representative time-use survey conducted by National Sample Survey Office (NSSO) to estimate factors that explain variations in time spent by women in unpaid work at the state level. The results show that structural transformation, entailing a reduction in employment in agriculture and an increase in the share of industries in state GDP, does not necessarily entail any reduction in unpaid time spent by women if the technology embodied in industrialisation is not gender-friendly. Worryingly, progress in female literacy recorded by states is no guarantee of a reduction in unpaid work by women. However, a gender-friendly atmosphere does make a difference in the reduction in unpaid work reported by women. Similarly, targeted public policy intervention does relax the constraints that women face at home, with a positive effect on unpaid work time. 2024 Institute for Human Development. -
Investigating the dynamics, synchronization and control of chaos within a transformed fractional SamardzijaGreller framework
In this article, in response to the limitations of existing ecological models, we address the critical need for a more comprehensive understanding of predatorprey dynamics by presenting a modified fractional SamardzijaGreller model that incorporates intra- and inter-species competitions within two predator populations. Our model stands out for being more realistic because it considers the natural competition that occurs among and between two predator species when they share a common prey We derived the local stability conditions at equilibrium points using RouthHurwitz conditions for the modified model. With the help of a suitably chosen Lyapunov function, we also obtained the global stability condition for our fractional model. The existence of chaos has been confirmed through Lyapunov exponents and bifurcation in the new system for two distinct sets of initial conditions for different fractional orders. Employing the active control method, we establish conditions for synchronization between these two fractional systems and introduce control functions for chaos management in the modified model. Numerical simulations, utilizing the generalized AdamsBashforthMoulton method, support the theoretical findings across a spectrum of fractional orders ranging from 0 to 1. We demonstrated the adaptability of the active control method for different fractional orders. A fractional order of ? equal to 1 for synchronization shows rapid convergence, but a drop to ? equal to 0.80 causes a substantial slowdown that takes almost six times more number of iterations to complete. Thus, we shed light on how the fractional order of the system plays a pivotal role in determining the speed of synchronization, with lower orders leading to a noticeable delay and higher fractional orders favoring faster synchronization. Our thorough investigation contributes to the understanding of complex ecological systems and offers practical insights into fractional chaos control mechanisms within the context of predatorprey models. 2024 Elsevier Ltd -
Unveiling stabilization mechanisms in a chaotic fractional Cryosphere model
This article investigates the influence of chaos control and time delay on a chaotic surface energy balance-mass balance model of the Cryosphere. This research delves into the effectiveness of employing the active control method to stabilize chaotic systems with different fractional orders. Moreover, the investigation uncovers a noteworthy aspect of system dynamics, highlighting the role of time delay as a stabilizing element in chaotic systems. The generalized predictor-corrector method has been used to solve the fractional delayed and non-delayed systems. Numerical simulations show that the addition of time lag confers stability to the chaotic model for fractional orders ? = 1 and 0.95. Remarkably, for ? = 0.90, 0.85, 0.80 and 0.75, the delayed model transitions into an asymptotically stable state, revealing the significant stabilizing effect of time delay. CSP - Cambridge, UK; I&S - Florida, USA, 2024 -
Effects of global warming, time delay and chaos control on the dynamics of a chaotic atmospheric propagation model within the frame of Caputo fractional operator
The Lorenz-84 climate model is a simplified mathematical model that describes the chaotic behavior of atmospheric convection and its impact on global climate patterns. It captures the presence of chaotic behavior in the motion of westerly wind and helps understand the concept of sensitivity to initial conditions. But as observed over the years, the westerlies are gaining more strength due to the rise in atmospheric temperature. In this work, we have modified the old model to observe the changes in the behavior of the system due to global warming and time delay. The modified model has been generalized using Caputo fractional derivative to provide a more accurate representation of the system with memory effect and non-local behavior. The stability of the new model has been tested at all the equilibrium points. Using Picard's operator and Banach's Fixed Point theorem, it has been shown that there exists a unique and bounded solution for the new model. It has been observed that the sole effect of global warming makes the system gradually unstable from chaotic as the fractional order ? is decreased from 0.80 to 0.50. Also, a shift in the bifurcation point has been noticed for the new model. All three Lyapunov exponents have been calculated for different fractional orders to confirm the presence of chaos in the modified model as well. A chaos control law has been constructed for the modified chaotic model using the sliding mode control theory. Interestingly, the chaos disappears completely when the effect of time-delay is considered in the modified model. Since our proposed time-delayed modified model shows an asymptotically stable nature for all fractional orders ? less than 0.85, it is better suited to make more accurate predictions about the strength of the westerlies. 2023 Elsevier B.V. -
The effect of climate change on the dynamics of a modified surface energy balance-mass balance model of Cryosphere under the frame of a non-local operator
One of the major causes of the intermittent nature of long-term climate changes is the interaction between the surface energy balance and the mass balance of the Cryosphere. In this paper, the pre-existing surface energy balance-mass balance model of the Cryosphere is modified by incorporating the radiative forcing of CO2 to observe the effect of global warming on the nature of the previous model. The modified model is generalized using Caputo's non-local operator. The stability of the new model is analyzed at all the equilibrium points and also it is shown that there exists a unique and bounded solution for the modified system. Using bifurcation analysis and calculating the values of Lyapunov exponents for different fractional orders of the modified system, it is found that the system exhibits chaos for certain values of the radiating forcing of CO2 To observe and visualize the changes in the nature of the new model, the system is solved using the highly efficient 7th-order RungeKutta method. It is observed that with the inclusion of the radiative forcing of CO2, the nature of the system changes from asymptotically stable to chaotic as we decrease the order of the system. The Poincare map shows that the modified model even has characteristics of a strange attractor which is highly chaotic. The system becomes unstable when the value of the radiative forcing of CO2 is increased. As a result, the predictive power of the surface energy balance-mass balance model of the Cryosphere decreases. In addition to providing insights into the transition from stability to chaos in the Cryosphere model due to CO2 radiative forcing, this research offers a deeper understanding of the intricate interplay between climate dynamics and complex systems behavior. 2023 The Authors -
The Impact of Website Design on Online Customer Buying Satisfaction and Loyalty to E-Tailers: An Exploratory Study of E-Tailers in India
The popularity of e-tailers has distorted the retail industry in India. Websites are becoming an important means through which customers get product information and purchase items for their needs. This research paper focuses on four dimensions (i.e., user interface, convenience, personalized recommendations, and perceived security of the website) to assess their impact on online customer satisfaction with and loyalty towards e-tailers. The study questionnaire used established measures. The data was collected from four large cities in India, namely Chennai, Mumbai, Kolkata, and Delhi. Analysis of the survey results suggests that perceived website security is the most important dimension for customer loyalty. E-tailers have to ensure adequate security provisions in their websites to build up consumer perceptions of trust and so repeat business loyalty. Copyright 2022, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. -
Sentiment Analysis of COVID-19 tweets by Deep Learning ClassifiersA study to show how popularity is affecting accuracy in social media
COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented pressures have mounted on each country to make compelling requisites for controlling the population by assessing the cases and properly utilizing available resources. The rapid number of exponential cases globally has become the apprehension of panic, fear and anxiety among people. The mental and physical health of the global population is found to be directly proportional to this pandemic disease. The current situation has reported more than twenty four million people being tested positive worldwide as of 27th August, 2020. Therefore, it is the need of the hour to implement different measures to safeguard the countries by demystifying the pertinent facts and information. This paper aims to bring out the fact that tweets containing all handles related to COVID-19 and WHO have been unsuccessful in guiding people around this pandemic outbreak appositely. This study analyzes two types of tweets gathered during the pandemic times. In one case, around twenty three thousand most re-tweeted tweets within the time span from 1st Jan 2019 to 23rd March 2020 have been analyzed and observation says that the maximum number of the tweets portrays neutral or negative sentiments. On the other hand, a dataset containing 226,668 tweets collected within the time span between December 2019 and May 2020 have been analyzed which contrastingly show that there were a maximum number of positive and neutral tweets tweeted by netizens. The research demonstrates that though people have tweeted mostly positive regarding COVID-19, yet netizens were busy engrossed in re-tweeting the negative tweets and that no useful words could be found in WordCloud or computations using word frequency in tweets. The claims have been validated through a proposed model using deep learning classifiers with admissible accuracy up to 81%. Apart from these the authors have proposed the implementation of a Gaussian membership function based fuzzy rule base to correctly identify sentiments from tweets. The accuracy for the said model yields up to a permissible rate of 79%. 2020 Elsevier B.V. -
A Survey of Sentiment Analysis from Social Media Data
In the current era of automation, machines are constantly being channelized to provide accurate interpretations of what people express on social media. The human race nowadays is submerged in the idea of what and how people think and the decisions taken thereafter are mostly based on the drift of the masses on social platforms. This article provides a multifaceted insight into the evolution of sentiment analysis into the limelight through the sudden explosion of plethora of data on the internet. This article also addresses the process of capturing data from social media over the years along with the similarity detection based on similar choices of the users in social networks. The techniques of communalizing user data have also been surveyed in this article. Data, in its different forms, have also been analyzed and presented as a part of survey in this article. Other than this, the methods of evaluating sentiments have been studied, categorized, and compared, and the limitations exposed in the hope that this shall provide scope for better research in the future. 2014 IEEE. -
Camouflaged Protocols of Womanhood: Inherent Paradoxes of Bengal
Contemporary India is part of a global community where modernizationand urbanization including consumerism is on the rise; but not leaving behind its historic cultural essence. Old scriptures, myths, folklore, literature, cultural proverbs as well as media, have a noteworthy role in shaping the perspectives of Indian people. The current study was done in parts of urban Bengal to explore the influence of these forces from socio-political, psychological as well as philosophical registers, in shaping the self-image and identity of contemporary women. 50 participants were interviewed using a semi-structured in-depth interview method and data were analyzed following qualitative analytical methods keeping the cultural-relational-social context in perspective. The method of pluralism in the qualitative analysis was followed using three data analysis methodsGrounded Theory, Interpretative Phenomenological Approach, and Narrative Analysis. Analyses revealed anintriguing social-crafting of theconcepts of gender and identities of women through idealization and internalization of traits and notions incessantly presented through celebrated literature, myths, folklore, proverbs, and media. Furthermore, the analysis showed how the deep-rooted paradox, inherent in Bengals cultural discourse, is internalized even by educated urban women and infuses a sense of lack, vulnerability, self-loathing, blame, and stigma in their identity. On the contrary, it was also observed in a few instances that optimum use of media and global knowledge led to the construction of a new-age individual and subjective discourse. 2022, The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India. -
Contemporary Indian Way of Settling Down: Emerging Adults Perspective
Settling down in India historically entailed a culturally constructed notion for individuals, focusing on marriage. An exploration of the modern Indian idea of Settling down was explored in light of the driving forces of globalization and increased migration. The current study explored the concept of Settling down among emerging adults aged between 18 and 29 years who had migrated within the borders of India for education or employment purposes. To this end, semi-structured interviews were conducted. The reflexive thematic analysis method was employed for analysing the data. Emerging themes unveiled that despite marriage being endorsed by a few of the participants, co-habiting relationships were convenient and burden-free. Employment, financial independence, and professional stability emerged as the primary markers of Settling down among migrant emerging adults. It was also recognized that migration had a critical impact on peoples decisions about settling down.. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Online cooperative learning: exploring perspectives of pre-service teachers after the pandemic
Mainly, research has explored pre-service teachers perspectives toward cooperative learning within face-to-face teaching. However, in a post-pandemic scenario, previous research has yet to effectively explore pre-service teachers (PSTs) perspectives toward online cooperative learning (OCL) in teacher education programs. So, recognizing the gap in the literature, this paper aims to explore the perspectives of PSTs towards OCL. The researchers employed a qualitative research design for the present study. The researchers conducted semi-structured interviews with 10 PSTs who underwent OCL during the pandemic. These PSTs may possess digital proficiency, virtual collaboration abilities, flexibility in evolving educational environments, and an enhanced understanding of online cooperative learning methodologies within modern education. Researchers employed a thematic analysis to analyze the qualitative data obtained. The various themes that emerged from the study are perceived benefits of OCL, challenges to OCL, technological proficiency, learning strategies and support, and building a supportive online learning community. Future researchers may contribute to advancing effective online learning practices by gaining a deeper understanding of pre-service teachers perspectives towards OCL through research on a larger scale, including various teacher education programs in various countries. 2024, Institute of Advanced Engineering and Science. All rights reserved. -
PBIB-designs and association schemes arising from minimum bi-connected dominating sets of some special classes of graphs /
Afrika Matematika, Vol.29, Issue 1-2, pp.47–63, ISSN: 1012-9405. -
Comparative optimization studies (Isp 4 vs isp 3 vs isp 2 media) of mangrovian streptomyces pluripotens anukcjv1 for its ?-amylase production and geographical correlation of mangrovian actinomycetes strains
Streptomyces pluripotens ANUKCJV1 was isolated from Coringa Mangroves which was located along the South Indian Delta. The Current work which was in continuation to our previously reported work which suggests that Streptomyces pluripotens ANUKCJV1 was the potential strain and the same has been subjected to comparative optimization studies in the current work by employing three media: ISP 4; ISP 3; ISP 2 media for enhanced ?-Amylase Production. Physico-Chemical variables viz Incubation period, PH, Temperature, Carbon and Nitrogen sources with respect to three different media (ISP 4, ISP 3 and ISP 2) were tested and cumulative analysis of three different media for differential bioactivity of ?-Amylase was done. Results suggest that ISP 4 found to be the best medium with cumulative value of 24.2 U/mL, where as the cumulative value of ISP 3 and ISP 2 were 19.3 U/mL and 19.4 U/mL respectively. Peptone as Nitrogen source of ISP 4 found to be the favourite Individual variable among all with production value of 8.0 U/mL. Geographical correlation with respect to number of Actinomycetes strains and ?-Amylase Bioactivity depicts that Distant geographical soil samples from the shore found to be favourable for higher number of Actinomycetes strains: A1 soil samples (~ 500 m)-33 %; A2 samples (~ 400 m)-22 %. With regard to ?-Amylase Bioactivity, A5 samples (~ 100 m) analysed to be the potential geographical bioactive zone for ?-Amylase Production. From the study it can be concluded that since ISP 4 found to be the favourite medium of the potential strain, by employing the same large scale exploration of the Streptomyces pluripotens ANUKCJV1 of the Coringa Mangroves may be done to tap the industrial benefits of ?-Amylase. EM International. -
Sustainable intensification of water guzzling crops: Identifying suitable cropping districts of India
With food sufficiency being achieved, emphasis of policy makers is now on to sustainable intensification in line with the objectives of Sustainable Development Goals (SDGs).Widening discrepancy between the water-resource supply and demand necessitates relook into the cropping pattern of the country.Based on district-level secondary data of area, productivity and level of groundwater extraction, this study aims to identify critical and potential area for cultivation of three major water-intensive crops, i.e.rice, wheat and sugarcane.Study found that 1.93 million ha of area under rice, mainly in north-western and western India, need a gradual shift.Nearly 43% of the rice cultivated area in eastern and north-eastern states of West Bengal, Odisha, Chhattisgarh and Assam has potential for further intensification of rice cultivation.In case of wheat, around 0.65 million ha of area, mostly in Rajasthan, is critical in terms of sustainability.Livestock is an integral part of agriculture in this region and hence diversification of wheat would require mixed strategy of shifting to alternative dual-purpose crops and wheat cultivation with water conservation technologies.Study ftirther found that around 13543 ha of sugarcane in mainly in western Uttar Pradesh and Tamil Nadu is deterring the groundwater resources.Recommendations emanating from the study include differentiates agricultural price policy, payment for ecosystem services and greater focus on productivity enhancement in eastern India. 2021 Indian Council of Agricultural Research. All rights reserved. -
Irrigation water policies for sustainable groundwater management in irrigated northwestern plains of India
Increasing global water shortage emphasizes the need for demand-side water management policies, especially in the agriculture sector, being the largest consumer of freshwater. Such policies are relevant in India, where groundwater depletion may have severe implications at various socio-economic levels. In this study, using mathe-matical modelling, we assess the feasibility of two alter-native irrigation water pricing policies (i) uniform wa-ter pricing policy and (ii) differentiated water pricing policy, wherein farmers growing less water-requiring crops (<4488 m3/ha) get an incentive for saving water, while those growing water-intensive crops pay for it. Us-ing a case study of Punjab, the breadbasket and one of the fastest groundwater-depleting states in India, alter-native cropping patterns are also suggested. The findings reveal that the current rate of groundwater withdrawal could not sustain agricultural intensification in the state. Although optimization of resource allocation has the pote-ntial to save water by 8%, this alone is unlikely to break the ricewheat mono-cropping pattern in Punjab. The analysis of two different volumetric irrigation water pricing policies shows that differentiated water pricing would be more effective in halting groundwater deple-tion in the state. However, adequate investment in irri-gation water supply infrastructure, mainly for installing water meters, is required to implement the policy. 2022, Current Science. All Rights Reserved.