OSEMN Approach for Real Time Data Analysis

Data analysis system is the study of people opinions, sentiments, attitudes, and emotions expressed through written language. Sentiment analysis is just a part of it in this system we compare the accuracy result of two languages sentiment analysis. If we saw than sentiment analysis is one of the most active research areas. It is popular because of two reasons. First, it has a big range of applications because opinions are center of almost all human activities and it shows our behaviours. Whenever we make a decision, we have to heard other’s opinions as well. Second, it presents many challenges research problems, which had never been strive before the year 2000. Part of the reason for the lack of study before was that there was small dogmatic text in digital forms. There is no surprise that the establishment and the rapid growth in the field coincide with the social media on the Web. In fact, the research has also increase outside of computer science to manage science and social science due to its importance to business and society as a whole. Information analysis system is the system in which we measure the accuracy rate of both languages chirps. The main thing is this that this project is a newly formed project. We can say that sentiment analysis is just a part of it for that we have to understand what is sentiment classification and analysis. So Sentiment classification is a way to inspect the personal data in the chirps or data and then extract the opinion. Chirps analysis the method by which information is withdraw from the opinions, and emotions of people in regards to things. During decision taking the opinion of other person shave a drastic effect on users or customers ease because they make choices regarding to e-shopping, choosing events, products, things. The approaches towards chirps analysis work according to a particular level, document level. This paper aims at analysing a solution for the sentiment classification at a powdery, mainly in the sentences in which the polar nature of the chirps or sentences given by three categorization name as positive ,negative and neutral

Analysis of teacher education curriculum from the standpoint of fundamental duties: A critique

"There were no rights without duties," Mahatma Gandhi said. So, responsibility comes first, followed by rights. However, we are more concerned with our Fundamental Rights than with our Fundamental Duties. There would be no need to seek information regarding our Fundamental Rights if we were all aware of our Fundamental Duties. Article 51-A of our Constitution establishes eleven Fundamental Duties for every Indian citizens. But, regrettably, the majority of us are unaware of those eleven Fundamental Duties. So, our initial job as teacher educators is to be aware of those eleven Fundamental Duties, since we all know that schools are the basic unit of society, and teacher training is now required to enter the teaching-learning process. So, if we make instructors aware of those eleven Fundamental Duties, then teachers will make students aware of those eleven Fundamental Duties, and students will make their families aware of those Fundamental Duties, and so on. It's similar to a chain of events. This article aims to determine the real understanding of eleven Fundamental Obligations among potential teacher educators, then solicit important suggestions from them for spreading awareness of those obligations, and finally, provide recommendations to our government for spreading awareness of those obligations

Perceptions regarding child care and perinatal depression during COVID-19 pandemic – A cross-sectional community-based survey from Uttar Pradesh

Background: High levels of stress among pregnant women have been reported during the coronavirus disease 2019 (COVID-19) pandemic because of various infection-related and lockdown measures. Concerns about safe delivery, breastfeeding, and child care may increase the risk of depression in vulnerable women during the perinatal period. Aim: To study the perceptions regarding child care and prevalence of perinatal depression during the COVID-19 pandemic. Materials and Methods: A cross-sectional community-based survey was conducted among 750 lactating mothers post delivery between September 2020 and February 2021 in 51 districts of Uttar Pradesh. A convenient purposive sampling technique was used. A semi-structured questionnaire was used to collect the socio-demographic details and perceptions regarding child care during the COVID-19 pandemic. Assessment of depression symptoms was performed with the help of patient health questionnaire 9 (PHQ-9). Results: A total of 440 participants were suffering from some form of depression symptoms; the majority had mild depression. Depression was found to be higher among homemakers and young mothers (age <25 years). Depression was found in more than 40% of the respondents who felt fear of COVID infection during breast feeding and hospital stay. Similarly, more than 50% of the respondents who feared unavailability of timely health services and social ignorance had depression. More than 60% of the mothers who did not have any knowledge about safe breast-feeding and child care practices had some form of depression, and the results were statistically significant. Conclusions: Perinatal depression is highly prevalent during the ongoing pandemic. Hence, regular screening, psychoeducation, awareness regarding safe breast feeding, and child care practices are recommended