Neha Gupta

Neha Gupta is currently working as an Associate professor, Faculty of Computer Applications at Manav Rachna International Institute of Research and Studies, Faridabad campus. She has completed her PhD from Manav Rachna International University and has done R&D Project in CDAC-Noida. She has total of 12+ year of experience in teaching and research. She is a Life Member of ACM CSTA, Tech Republic and Professional Member of IEEE. She has authored and coauthored 30 research papers in SCI/SCOPUS/Peer Reviewed Journals (Scopus indexed) and IEEE/IET Conference proceedings in areas of Web Content Mining, Mobile Computing, and Web Content Adaptation. She is a technical programme committee (TPC) member in various conferences across globe. She is an active reviewer for International Journal of Computer and Information Technology and in various IEEE Conferences around the world. She is one of the Editorial and review board members in International Journal of Research in Engineering and Technology.

Publications

Bayesian Network-Based Decision Support for Pest Management
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
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
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
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
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
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
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
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
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
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
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...