Rakhi Batra

ORCID: 0000-0003-2176-2509
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About
Contact & Profiles
Research Areas
  • Sentiment Analysis and Opinion Mining
  • Teaching and Learning Programming
  • Online Learning and Analytics
  • Innovative Teaching and Learning Methods
  • Misinformation and Its Impacts
  • Cloud Data Security Solutions
  • Text and Document Classification Technologies
  • Natural Language Processing Techniques
  • Topic Modeling
  • Security and Verification in Computing
  • Cloud Computing and Resource Management
  • Vaccine Coverage and Hesitancy
  • Emotional Intelligence and Performance
  • ICT in Developing Communities
  • Energy Load and Power Forecasting
  • Reading and Literacy Development
  • Innovative Education and Learning Practices
  • Digital Communication and Language
  • Gender and Technology in Education
  • Stock Market Forecasting Methods
  • Design Education and Practice
  • Creativity in Education and Neuroscience
  • Advanced Text Analysis Techniques
  • Data Mining Algorithms and Applications
  • Imbalanced Data Classification Techniques

The Ohio State University
2022-2025

Sukkur IBA University
2018-2023

How different cultures react and respond given a crisis is predominant in society's norms political will to combat the situation. Often, decisions made are necessitated by events, social pressure, or need of hour, which may not represent nation's will. While some pleased with it, others might show resentment. Coronavirus (COVID-19) brought mix similar emotions from nations towards taken their respective governments. Social media was bombarded posts containing both positive negative...

10.1109/access.2020.3027350 article EN cc-by IEEE Access 2020-01-01

Sentiment Analysis is new way of machine learning to extract opinion orientation (positive, negative, neutral) from a text segment written for any product, organization, person or other entity. can be used predict the mood people that have impact on stock prices, therefore it help in prediction actual movement. In order exploit benefits sentiment analysis market industry we performed tweets related Apple products, which are extracted StockTwits (a social networking site) 2010 2017. Along...

10.1109/icomet.2018.8346382 article EN 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) 2018-03-01

Urdu is still considered a low-resource language despite being ranked as the world’s 10th most spoken with nearly 230 million speakers. The scarcity of benchmark datasets in languages has led researchers to utilize more ingenious techniques curb issue. One such option widely adopted use translation services replicate existing from resource-rich English languages, Urdu. For natural processing tasks, including polarity assessment, words translated via Google translator one another often change...

10.1109/access.2021.3110285 article EN cc-by-nc-nd IEEE Access 2021-01-01

It has been more than a year since the coronavirus (COVID-19) engulfed whole world, disturbing daily routine, bringing down economies, and killing two million people across globe at time of writing. The pandemic brought world together to joint effort find cure work toward developing vaccine. Much anticipation, first batch vaccines started rolling out by end 2020, many countries began vaccination drive early on while others still waiting in anticipation for successful trial. Social media,...

10.3390/su13105344 article EN Sustainability 2021-05-11

Emotions are a complex multi-faceted phenomenon. To assess the complexity of emotions from different facets, multi-modal approaches necessary. However, rarely used for assessing emotions, especially in context computer programming. This study adopts approach to understand changes students’ perception before and after working on programming problems. Understanding these perceptions may enable educators devise interventions that help students adjust their regulate as per skills. We conducted...

10.1145/3643865 article EN ACM Transactions on Computing Education 2024-02-09

Actionable Knowledge Discovery approaches to extract the business and technical significant actions/patterns support direct decision making.These actions suggest how transform an object from undesirable status a desirable by incurring less cost high profit.This article aims propose work that generates actionable patterns efficiently.It reduces search space number of iterations for attribute value change during action generation.Performance proposed method is compared with Yang's OF-CEAMA on...

10.1109/access.2019.2959841 article EN cc-by IEEE Access 2019-01-01

This article describes how the enormous potential benefits provided by cloud services, made enterprises to show huge interest in adopting computing. As service provider has control over entire data of an organization stored onto cloud, a malicious activity, whether internal or external can tamper with and computation. causes lack trust services due privacy, security issues. Despite having such issues, consumer no root level access right secure check integrity procured resources. To establish...

10.4018/ijcac.2018040103 article EN International Journal of Cloud Applications and Computing 2018-03-14

Low-resource languages are gaining much-needed attention with the advent of deep learning models and pre-trained word embedding. Though spoken by more than 230 million people worldwide, Urdu is one such low-resource language that has recently gained popularity online attracting a lot support from research community. One challenge faced resource-constrained scarcity publicly available large-scale datasets for conducting any meaningful study. In this paper, we address collecting first-ever...

10.1371/journal.pone.0290779 article EN cc-by PLoS ONE 2023-08-30

Abstract Code comprehension is an important skill for programmers because it helps them understand code and develop debugging skills [1]. The process of unlike comprehending natural languages involves complex cognitive processing. During processing, a programmer required to or use the appropriate mental models programming constructs, which makes difficult novice [2]. Along with analyze how students feel during literature suggests that emotions influence different aspects cognition such as...

10.18260/1-2--41125 article EN 2024-02-06

For novice students, learning programming is hard, hence, inducing a variety of emotions. According to literature, two the most commonly occurring emotions that students experience while are frustration and confusion. Although these momentary, they may have long-term effects on students' motivation, performance, retention in computing. In this study, we aim discuss challenges report when feel confusion working rainfall problem. This problem has been used extensively literature understand...

10.1109/fie58773.2023.10343499 article EN 2021 IEEE Frontiers in Education Conference (FIE) 2023-10-18

This overarching study aims to establish the validity of Programming Emotions Questionnaire (PEQ). The PEQ is an instrument that could be used for assessing students' emotions in a computer programming class, lab, or test. It derived from achievement questionnaire (AEQ) grounded control-value theory emotions. Since AEQ has numerous psychometric challenges (e.g., some items are not atomic), we make significant changes revise it, hence, will validating scratch. In this poster discuss...

10.1145/3478432.3499106 article EN Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2 2022-02-22
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