Volume 11 | Issue 6 |

 Abstract

Sentiment analysis is the task of extracting contextual information from the text. The source of textual data can be from social media posts, comments, reviews, blogs, tweets, news articles etc...These text involves in stop word removal, lemmatization and stemming. After text preprocessing steps, the text has to processed using word embedding techniques. The word has to processed into vectors that can involve into machine learning and neural network approaches. Word2vec and skip gram are the two successful approaches in supervised machine learning and GLoVe in unsupervised machine learning. Recurrent Neural Network(RNN) and Convolution Neural Network (CNN) are the two approaches in deep learning algorithm. Thus the paper discusses the machine learning and deep learning algorithm in word embedding techniques can be used for feature extraction. Then it can be fed into various classifiers to fall under the category of positive, negative or neutral which helps to understand the moral and ethical values of people in various applications such as business, politics, ecommerce and health care industry and in movie reviews. The experimental results show that deep learning approaches produce better results in sentiment prediction when compared with Machine learning.

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 Keywords

Semantic analysis, word2vec, word Embedding, Machine Learning, Deep Learning, RNN, CNN

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Educational institutions have been one of the most well-liked locations because they are recognised as one of the key environments for the development of eating habits and preferences. These environments ought to offer comprehensive educational programmes, such as initiatives in food and nutrition targeted at improving students' general health and nutritional status. The current study, which attempted to ascertain how nutrition education sessions affected their comprehension, attitudes, and practices. There 120 urban college-bound ladies were involved from a university in Cuttack, Odisha. The nutrition intervention approach included lectures, food demonstrations, role plays, skits, group discussions, and training sessions over the course of twelve weeks. A well-designed Pre-tested questionnaire was given to the girls to evaluate the effectiveness of the nutrition both before and after the intervention. For assessing knowledge, Attitude and Practices a separate question format had been distributed among the subjects. The ratings obtained at both the stages were totaled and percentage was examined to determine the difference in feedbacks. The results obtained after all the programs disseminated during these twelve weeks of Nutrition education showed that students became more aware and conscious about their physique, overall health, cooking practices, refining their concept based on food and nutrition. So interesting and creative approaches are very much important to make them more attentive and adoptive to change their faulty food habits and wrong mind set, concept, to pursue favorable attitudes, and practices.

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 Keywords

Pre-tested Questionnaire, Nutrition Education, nutrition intervention, Favorable attitude.

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Trading, gambling, and investing all involve risk and chance to some extent. But they differ from one another. Even though stock trading is subject to the vagaries of the market, it is based on a database of financial data which serves as a backbone for both traders and investors. It is not incorrect to compare uninformed investing to gambling. Investors must have a solid understanding of the company's fundamentals because doing so makes it easier to distinguish between good and bad stocks. The purpose of the study is to evaluate a company's fundamentals and quantify how closely they relate to the share price using descriptive statistics. The study discusses all crucial ratios, including the 10 crucial ratios known as F_Decile (solvency ratios, profitability ratios, valuation ratios, debt ratios, and efficiency ratios). To assess the degree of correlation between the company's fundamentals and changes in the share price, the F_Decile score is correlated with the change in share price determined on a daily basis from 2017-18 to 2021-22. The research's findings also assist traders and investors in differentiating between companies with the potential to generate abnormal profits and those with meagre or non-existent returns over time. In order to forecast the future share price for investment purposes, descriptive statistics such as range, sum, mean, and standard deviation are applied to the fluctuating share price on a daily basis. These statistics help to determine the movement and magnitude of the share price over a period of five years.

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 Keywords

Abnormal profits, Correlation, Investing, Trading, F_Decile

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Security for women has become a major issue as the number of crimes over women and girls increasing day-by-day. This article makes use of new perspective to use technology to protect women. We use an android based smart phone with an integrated feature that alert and provide location-based Information. This Document describe GPS based "Women Security System" that provides the combination of GPS devices as- well-as provide alerts and message with an emergency button Trigger. Whenever somebody is in trouble, they only have to press a button after that a message alert is sent to register contact list to the number registered first and give a message like "I AM In TROUBLE PLEASE HELP ME". Now a day safety of women is becoming very poor. With the help of this application, we can help women. The development in Android with Graphical User Interface provides the level of reliability, availability and compatibility.

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Security, Android, GPS, Science & Technology, Mobile Computing

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The purpose of this study is to analyze the influence of economic and non-economic aspects on the analysis method used is model analysis using a spatial econometric approach. The spatial econometric model is used to answer the research objectives, namely how the influence of spatial and non-spatial aspects on the human development index between Western Indonesia (KBI) and Eastern Indonesia (KTI) Indonesia. Data This study uses panel data, taking the research location of Indonesia which includes 34 provinces. The research was conducted using data series for the observation period 2015-2021. the results of the study show that between KBI and KTI there is a spatial relationship between provinces and the models used are different. in KBI, the three variables used have a positive effect on human development using the SAR model. in KTI, neighboring regions have an influence on HDI values. while the variables of GRDP per capita and internet users have no effect on HDI in region i. but the HDI of region i is influenced by GRDP per capita, poverty and internet users in area j.

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HDI, GDRP per capita, internet users, spatial and non spatial

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In order for manufacturing organisations to manage the knowledge and competency difficulties associated with Industry 4.0's new technologies and processes, new strategic approaches to comprehensive human resource management are required. The number of workspaces requiring a high level of complexity will rise as a result of the ongoing automation of simple production processes, necessitating a high level of staff education. The difficulty lies in preparing workers to transfer their skills to workplaces with more complicated processes and ensuring job retention in dynamic work environments. In this work, a strategic approach to personnel qualification is discussed.

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 Keywords

Human Resource Management, Industry, Change in industry management

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Creative Commons Attribution 4.0 and The Open Definition

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ADRs, or adverse drug reactions, are unforeseen side effects of taking medication that can cause hospitalizations or even fatalities. For the sake of drug monitoring, research, and patient safety, authorities must receive ADR reports in a timely manner. One of the main factors contributing to morbidity, mortality, and rising healthcare costs is adverse medication reactions. Community pharmacists worldwide have a crucial role in monitoring and reporting ADRs to their respective national Pharmacovigilance programmes because the prevalence of ADRs is greater than 50% in community settings. Yet, community pharmacists have not yet begun to practise in India because of the attitude of traders. They made to the Indian Pharmacovigilance programme (PvPI).

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ADR

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Ancient yet timeless, Ayurveda gives us the means of attaining and maintaining our own optimal health and well-being. Its benefits have been proven over centuries of use, and its methodologies are as applicable today in the West as they were thousands of years ago in India. Ayurveda recognizes that each person is unique and offers a customized approach to wellness. This paper outlines the basics of Ayurveda, and explains how you can spend a happy life.

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Ayurveda- meaning, Astangahridaya-Vagbhat

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In today's rapidly evolving digital era, the vast amount of news articles available online makes it challenging for individuals to navigate through the sea of information. To address this issue, automated news classification systems have gained significant attention. These systems aim to categorize news articles into predefined classes, allowing users to efficiently access the information they seek. This research paper explores the application of machine learning (ML) algorithms for news classification, providing a comprehensive analysis of their effectiveness and performance.

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News Classification using ML Algorithms: An Exploration of Efficient Information Categorization

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Hair plays a vital role in human body and it is considered to be protective appendages on the body. The main problems associated with hair such as pigmentation problems (Fading), dandruff and failing of hair. Each hair grows in three cyclic phases.In the catagen phase, the growth activity increases and hair moves to the next phase, catagen phase is between 2-3 weeks. The telogen phase is a state at which the hairs move into resting state as 2-3 months. In general, 50 to 100 hairs are known to be shed everyday and an increase of more than 100 constitutes a state of hair loss or alopecia. Amla is rich source of vitamin C and contains appreciable amount of pectin rich in mineral matters like phosphorous, iron, calcium. Hibiscus consists of calcium, phosphorus, iron, vitamin B1, riboflavin, niacin and vitamin C, used to stimulate thicker hair growth and prevents premature graying of hair. Bramhi contains alkaloids which enhance protein kinase activity. Methi contains high protein fooder which supply required protein nutrition to hair. Cocos nucifera is used to promote the growth of hair.

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 Keywords

Hair Formulation, Physical parameter, herbal oil,Traditional Ayurvedic Medica,Evergreen shrub

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