J. P. Verma

GETS : Sentence Scoring Scheme in Graph-based Extractive Text Summarization for Text Mining Applications

2023

Recently, there is an exponential influx of textual data in big data applications, which necessitates the requirement of text mining tools for analysis of data. In Text Mining applications (TM), Text Summarization (TS) has emerged …

WePaMaDM-Outlier Detection: Weighted Outlier Detection using Pattern Approaches for Mass Data Mining

2023

Weighted Outlier Detection is a method for identifying unusual or anomalous data points in a dataset, which can be caused by various factors like human error, fraud, or equipment malfunctions. Detecting outliers can reveal vital …

Graph-Based Extractive Text Summarization Sentence Scoring Scheme for Big Data Applications

2023 · Information

The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within …

Using Negotiation and Large Language Models in Human – To Software Agent Negotiations

2025 · International Journal of Human-Computer Interaction

Large Language Models (LLMs) offer unprecedented opportunities for researchers and practitioners to enhance the performance of business representatives, including software agents acting on behalf of businesses. One promising application is employing LLMs to negotiate deals …