Dive into the problem and objectives we aimed at achieving
Our Services
COVID-19 Correlation with Mental Well-being of Students in Germany
The primary objective of the study is to find out a relation between COVID-19 Lockdown effect on mental health of students who have been taking online semesters mainly in Summer and Winter semesters of 2020/2021.
Text Mining and Analysis with R
We have aimed at using text mining techniques using libraries and packages offered by R. From tm to tidyverse, tidytext, glue, wordcloud, dplyr we exploit all of this to understand sentiments behind textual data.
Grade Prediction
Another objective is to aim at predicting the grades of the students who are confined in similar demographic situations as well as share somewhat similar sentiments. This study in no way will predict any student’s depression but only trying to understand whether there are adverse effects on students who have gone ahead for a year with little to no social interaction and at the same time had to go through a strenuous schedule of studies and/or part time jobs.
Sentiment Analysis
Furthermore, study also aims to perform and visualise a sentiment analysis using text data that is gathered using the survey and help find out sentiments of students throughout their online study period that they express. For example sentiment polarity scores from negative, neutral to positive and feeling of unhappiness, or fear or trust etc.
Scientific Minds
Ammar Ateeq
Ammar has played a vital role in creating effective ML model for efficient results.
Hashim Naveed
Hashim has played a vital role in setting our code framework and structure of algorithms to exploit and visualize.
Sidra Aziz
Sidra has been integral at setting up survey analysis, creation of this site and performing sentiment analysis on text data.