Volume 9 | Issue 6 |

 Abstract

Recent advances in Big Data has prompted health care practitioners to utilize the data available on social media to discern sentiment and emotions expression. Health Informatics and Clinical Analytics depend heavily on information gathered from diverse sources. Traditionally, a healthcare practitioner will ask a patient to fill out a questionnaire that will form the basis of diagnosing the medical condition. However, medical practitioners have access to many sources of data including the patients writings on various media. Natural Language Processing (NLP) allows researchers to gather such data and analyze it to glean the underlying meaning of such writings. The field of sentiment analysis (applied to many other domains) depend heavily on techniques utilized by NLP. This work will look into various prevalent theories underlying the NLP field and how they can be leveraged to gather users sentiments on social media. Such sentiments can be culled over a period of time thus minimizing the errors introduced by data input and other stressors. Furthermore, we look at some applications of sentiment analysis and application of NLP to mental health. The reader will also learn about the NLTK toolkit that implements various NLP theories and how they can make the data scavenging process a lot easier.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NLP Cosine similarity tf-idf grammar correction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The formation of crowd in small local shops is inevitable. After the pandemic, situation has changed to such an extent that avoiding the crowd in closed compact spaces would be a priority. Hence, considering this priority, crowd estimation would be of great help. Here, we present a technique for crowd estimation by monitoring the time thus preventing a crowd formation. This approach is implemented with the aid of QR Code Scanning method.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crowd, ML, QR scan, pandemic, compact spaces

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Air quality prediction is one of the complex tasks due to its dynamic nature, volatility, and variability in the time and space of pollutants. At the same time, being able to model, predict, and monitor the quality of air is becoming more relevant due to the observed critical impact of air pollution on the health of citizens and the environment. This paper aims to predict the monthly Air Quality Indices using ARIMA (Autoregressive Integrated Moving Average) model. Then categorize AQI into different classes. This knowledge will help us to reduce its level to a lesser than harmful range. The prediction and categorization will be based on a data set of atmospheric conditions in a specific area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AQI, ARIMA MODEL, Stationary Series.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been undertaken to investigate the self sustainable and Ecofriendly model that has been suggested to implement the Power Generation Unit from Road Transport By using the Piezoelectric Sensors, which will convert the pressure and mechanical energy from the vehicles into electrical energy and making a Prototype for the same.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self sustainable, Piezoelectric Sensors, Prototype.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Business intelligence is a key factor for any manufacturer to distribute the resources strategically. processing of data to get incites is a tedious task and will take up a large resource. The dashboards that consume this processed information require the data to be in a certain form. Some dashboards require the data to be uploaded periodically. Processing data as it is produced from sources is a waste of resources and time. ETL(Extract Transform Load) provides a way of aggregating data, transforming it, and loading it to the destination. It is a process that is custom-built for every job but, the architectural structure is the same. Even if the structure is the same there are different strategies for carrying out the ETL task. The automated ETL tasks will save time and will be reliable since they are purpose-built. The standard ETL task only transforms the data and the analytics and other processes are carried out. The analytics regarding the characteristics of data will help maintain the data and access the quality of the data.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Extract Transform Load, Extract Load Transform, Analytics Pipeline, Knime, Jenkins

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Conveyor Belt, Propeller, Collection Bin, RC Control, Review Paper

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nivarthana, Ezhava, Chatti Udayakkal, Janthu, lunatic asylum, bureaucracy, Diwan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Open and distance learning, perception, attitude

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main objective of the present research is to find out the Role of the Emotional intelligence in Well-being among Students. for this investigation Purposive randomized sampling technique was employed to select the participants. Sample of 200 undergraduate subjects were taken for this study from the population which was equally classified in students having higher level of emotional intelligence 100 & students having lower level of emotional intelligence 100 from Marathwada region. Emotional Intelligence of the students is independent variable in this study. Well-being of students is dependent variables in this study. Mangal Emotional intelligence Inventory (MEII) constructed by Dr. S. K. Mangal and Dr. Shubhra Mangal in 1971 was used. To measure the level of psychological well-being of the subjects, RYYF Scale of Psychological Well-Being was used. On the basis of the results, it can be concluded that students having higher level of Emotional Intelligence exhibit higher Wellbeing than student having lower level of Emotional Intelligence. Thus, level of Emotional Intelligence increase Wellbeing of students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Well-Being, Emotional Intelligence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Container object (CO), External objects (EOs), Websites, html

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Creative Commons Attribution 4.0 and The Open Definition