A Survey Based on Twitter data using Sentiment Analysis
available to internet users thanks to the development and growth of online technologies. The internet has developed into a forum for online education, idea sharing, and opinion exchange. Social networking services like Twitter, Facebook, and Google+ are quickly gaining popularity as a result of the ability for users to share and express their opinions on many subjects, engage in conversation with various communities, and broadcast messages globally. The study of sentiment in Twitter data has received a lot of attention. This study primarily focuses on sentiment analysis of Twitter data, which is useful for analyzing information in tweets when opinions are very unstructured, varied, and occasionally neutral. The strategies for opinion mining that are currently in use, such as lexicon-based approaches and machine learning, are surveyed, compared, and evaluated in this work along with evaluation measures. We present research on Twitter data streams using different machine learning techniques such as Naive Bayes, Max Entropy, and Support Vector Machine. Additionally, we covered the general difficulties and uses of sentiment analysis on Twitter.
Published by: Mayank Devani, Dr. Harsha Padheriya, Vijaysinh K. Jadeja
Author: Mayank Devani
Paper ID: V9I5-1156
Paper Status: published
Published: October 11, 2023
Impact of Foreign Direct Investment in Banking Sector in India
In India, the banking industry is incredibly dominating. Due to globalization, Indian banks compete on the basis of their cutting-edge goods and strong financial standing. Since India embraced economic reforms in 1991, the Indian banking system has advanced significantly. Foreign direct investment is being sought after as a vehicle for technology transfers, as a way to achieve competitive efficiency by building a significant global connectivity network, and as a source of non-debt inflows. FDI has made a significant contribution to the improvement of the Indian banking sector's efficiency, the development of novel financial products, and the improvement of banks' capitalization by making them more flexible to changing market conditions.
Published by: Antara Rau
Author: Antara Rau
Paper ID: V9I5-1158
Paper Status: published
Published: October 9, 2023
Impact of procrastination on everyday life
The purpose of this study was to shed light upon a very common issue in everyday life, focusing on adolescents as the target group. A survey research design was used to perform this study, where respondents were asked the degree to which they agreed with 18 statements on a scale of 1-5. Findings show that most adolescents do struggle with this phenomenon as a part of their daily lives, and also touch upon the causes of why this might occur. Although this varies from individual to individual, a common trend is visible and must be addressed.
Published by: Anivartin Daga
Author: Anivartin Daga
Paper ID: V9I5-1159
Paper Status: published
Published: October 6, 2023
A study to examine the efficacy of the nurse-driven client-centered intervention on sexuality among middle adulthood in the primary health center, Achankuttapatty at salem -Pilot study
Middle adulthood, typically spanning from the ages of 40 to 65, is a significant phase in an individual's life characterized by various physical, emotional, and psychological changes. Among these changes, the evolution of one's sexual identity and experience remains a critical aspect of overall well-being. Nurses, as frontline healthcare providers, are ideally positioned to address these issues through client-centered interventions. This research study aims to investigate the efficacy of nurse-driven client-centered interventions in addressing sexuality-related issues among middle-aged adults. It will explore the impact of such interventions on sexual health outcomes, emotional well-being, and overall quality of life in this population. Methods: The research approach adopted for the study was a true experimental design. The selection of subjects was done by Simple random sampling technique method and the sample consisted of 10 middle adulthoods residing in Achankuttapatty, Salem, Tamil Nadu. The data was collected by administering Multi-dimensional Sexuality Questionnaire (MSCQ) questionnaires The validity and reliability of the tool were obtained. The collected data were analyzed by using descriptive and inferential statistics in terms of Frequency, Percentage distribution chi-square test, and independent ‘t-test. Results: In the experimental group most (75%) of them were moderate satisfaction whereas in the control group most (60%) of them were severe satisfaction. The overall mean percentage in the experimental group was 83% whereas in the control group, it was 66%, revealing a difference of 17%. The paired test value in the experimental group was 19.1 whereas in the control group, it was. The unpaired test value was 8.4, which shows that there is a highly significant difference between the experimental group and the control group post post-test scores of sexuality in middle adulthood. Conclusion: From the findings it can be concluded that hallmark Vs resilience training and behavioral intervention were effective in improving the functions of sexuality in middle adulthood.
Published by: S. Nasira, Dr. P. Padmavathi
Author: S. Nasira
Paper ID: V9I5-1151
Paper Status: published
Published: October 5, 2023
The Plight of People below The Poverty Line in India
One of India's most pressing societal problems is poverty. A sizable portion of the Indian population is impacted. Due to the recession brought on by the COVID-19 pandemic, the number of impoverished people in India has more than doubled from 60 million to 134 million in only one year. As a result, India has once again returned to the category of "country of mass poverty" after 45 years. The negative effects of poverty on our country's children include subpar housing, homelessness, poor nutrition, and food security, inadequate child care, a lack of access to health care, hazardous neighbourhoods, and underfunded schools. It is a must to take prompt, appropriate action to address the issue of poverty. Farmers should be provided with enough amenities that they can make farming viable and avoid moving to cities in search of work. People who lack literacy should be provided with the necessary training so they may earn their living. Family planning should be practiced to stop the population from growing. Additionally, steps should be taken to eradicate corruption so that we can address the wealth disparity. The issue of poverty affects the entire country, not just one individual. For India's people, society, and economy to thrive sustainably and inclusively, poverty must be eradicated.
Published by: Aleya Masand, Samara Masand
Author: Aleya Masand
Paper ID: V9I5-1157
Paper Status: published
Published: October 4, 2023
Smart Water Management
The shortage of water supplies has emerged as a pressing worldwide issue in a world that must contend with the twin problems of a growing population and climate change. The need for effective water management has grown, and it is all too easy to see the results of carelessness and human mistake in managing water resources. Artificial Intelligence (AI), however, is a promising solution in the realm of computer science. A developing area of computer science called artificial intelligence has the power to completely alter how we manage our water resources. Computers, as opposed to people, are known for their accuracy and dependability. Utilizing AI in water management could not only correct past mistakes but also save millions of liters of water each year, thereby helping the world's population, which is always expanding. At its foundation, smart water management comprises effectively managing water resources with the least amount of human involvement. Data-driven "intelligent" applications have already revolutionized many elements of our daily lives in the digital age. Water utilities that are forward-thinking can greatly improve their operational performance by using this digital technology revolution. For water utilities starting their journey toward digital transformation, this abstract offers an introduction to the core AI ideas. It puts a strong emphasis on streamlining water distribution processes and dealing with the urgent problem of unaccounted-for water. Water utilities may use a wealth of data and information to improve service delivery, lower operating costs, and make better decisions by utilizing the power of AI algorithms and big data analytics. This succinct review describes the wide-ranging uses of big data analytics and AI-related algorithms in the water supply industry. It also explores how water utilities might use AI to predict and reduce unaccounted-for water, a problem that persists in the industry. Finally, actionable suggestions for implementing AI are offered, along with first cost projections.
Published by: Pranav Pradhan
Author: Pranav Pradhan
Paper ID: V9I5-1149
Paper Status: published
Published: September 30, 2023
