Rashmi Agrawal

Rashmi Agrawal is working as Professor in Department of Computer Applications in MRIIRS, Faridabad. Dr. Agrawal has a rich teaching experience of more than 17 years. She is UGC-NET(CS) qualified. She has completed PhD, M.Phil, MTech , MSc and MBA(IT). She has completed her PhD in the area of Machine Learning. Her area of expertise includes Artificial Intelligence, Machine Learning, Data Mining and Operating System. She has published more than 30 research papers in various national and International conferences and Journal and authored many books and chapters in edited books. She has organized various Faculty Development Programmes and participated in workshops and Faculty development Programmes. She is actively involved in research activities. She is a life time member of Computer Society of India. She has been a member of the Technical Programme Committee in various conferences of repute.

Publications

Understanding Biomedical Engineering for Quantum Computing
Rashmi Agrawal, Vicente Garcia Diaz. © 2024. 13 pages.
Engineers working in the biomedical field have a wide range of responsibilities, such as helping to introduce a new medical imaging technology or to create assiduous devices to...
Integrating Semantic Acquaintance for Sentiment Analysis
Neha Gupta, Rashmi Agrawal. © 2022. 20 pages.
The use of emerging digital information has become significant and exponential, as well as the boom of social media (forms, blogs, and social networks). Sentiment analysis...
Challenges of Text Analytics in Opinion Mining
Vaishali Kalra, Rashmi Agrawal. © 2022. 13 pages.
Text analysis is the task of knowledge distillation from unstructured text. Due to increase in sharing of information over the web in text format, users required tools and...
Impact of Deep Learning on Semantic Sentiment Analysis
Neha Gupta, Rashmi Agrawal. © 2022. 21 pages.
Online social media (forums, blogs, and social networks) are increasing explosively, and utilization of these new sources of information has become important. Semantics plays a...
Impact of Deep Learning on Semantic Sentiment Analysis
Neha Gupta, Rashmi Agrawal. © 2021. 21 pages.
Online social media (forums, blogs, and social networks) are increasing explosively, and utilization of these new sources of information has become important. Semantics plays a...
Integrating Semantic Acquaintance for Sentiment Analysis
Neha Gupta, Rashmi Agrawal. © 2021. 20 pages.
The use of emerging digital information has become significant and exponential, as well as the boom of social media (forms, blogs, and social networks). Sentiment analysis...
Technologies for Handling Big Data
Rashmi Agrawal. © 2020. 16 pages.
In today's world, every time we connect phone to internet, pass through a CCTV camera, order pizza online, or even pay with credit card to buy some clothes, we generate data...
Extracting Knowledge From Opinion Mining
Rashmi Agrawal, Neha Gupta. © 2019. 346 pages.
Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this...
Ontology-Based Opinion Mining
Chitra Jalota, Rashmi Agrawal. © 2019. 20 pages.
E-commerce business is very popular as a large amount of data is available on the internet in the form of unstructured data. To find new market trends and insight, it is very...
Anatomizing Lexicon With Natural Language Tokenizer Toolkit 3
Simran Kaur Jolly, Rashmi Agrawal. © 2019. 35 pages.
NLTK toolkit is an API platform built with Python language to interact with humans through natural language. The very first version of NLTK was released in 2005 (1.4.3), which...
Challenges of Text Analytics in Opinion Mining
Vaishali Kalra, Rashmi Agrawal. © 2019. 15 pages.
Text analysis is the task of knowledge distillation from unstructured text. Due to increase in sharing of information over the web in text format, users required tools and...
Educational Data Mining Review: Teaching Enhancement
Rashmi Agrawal, Neha Gupta. © 2017. 17 pages.
In today's era, educational data mining is a discipline of high importance for teaching enhancement. EDM techniques can reveal useful information to educators to help them...