Neha Gupta

Neha Gupta has done her PhD from Manav Rachna International University and has total of 18+ year of experience in teaching and research. She is currently working as professor at School of Computer Applications, MRIIRS. She is a Life Member of ACM CSTA, Tech Republic and Professional Member of IEEE. She has authored and coauthored 85 research papers in SCI/SCOPUS/Peer Reviewed Journals (Scopus indexed) and IEEE/IET Conference proceedings in areas of Web Content Mining, Mobile Computing, and Cloud Computing. She has 5 national and international patents published and1 national & 2 international patents granted to her credit. She has published books with publishers like Springer, Taylor & Francis, IGI Global & Pacific Book International and has also authored book chapters with Elsevier, Springer, CRC Press and IGI global USA. Four scholars have successfully completed their PhD in her guidance. Her areas of research include Cloud Computing, Network Intrusion Detection, Cryptography and Cyber Physical Systems. She is a technical programme committee (TPC) member in various conferences across globe.

Publications

Unravelling Climate Dynamics: Leveraging Machine Learning for Predicting Changes in Climate Behavior
Neha Gupta, Priya Tanwar. © 2024. 21 pages.
The scientific community is under pressure to investigate novel methods for understanding and forecasting the complex behaviors of the changing climate, as the modern era is...
Bayesian Network-Based Decision Support for Pest Management
Neha Gupta. © 2023. 17 pages.
The Bayesian network can be used to estimate the effectiveness of alternate management decisions or policies because of being causal in nature. BNs have the ability to sustain...
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...
Tools of Opinion Mining
Neha Gupta, Siddharth Verma. © 2022. 22 pages.
Today's generation express their views and opinions publicly. For any organization or for individuals, this feedback is very crucial to improve their products and services....
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...
CFS-MHA: A Two-Stage Network Intrusion Detection Framework
Ritinder Kaur, Neha Gupta. © 2022. 27 pages.
With the increasing modernism in our society, networked computers are playing a pivotal role in dispersion of knowledge, and the protection of critical data in information...
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...
Enhancing Data Quality at ETL Stage of Data Warehousing
Neha Gupta, Sakshi Jolly. © 2021. 18 pages.
Data usually comes into data warehouses from multiple sources having different formats and are specifically categorized into three groups (i.e., structured, semi-structured, and...
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...
Tools of Opinion Mining
Neha Gupta, Siddharth Verma. © 2019. 25 pages.
Today's generation express their views and opinions publicly. For any organization or for individuals, this feedback is very crucial to improve their products and services....
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...