Notice Board :

Call for Paper
Vol. 12 Issue 9

Submission Start Date:
September 01, 2025

Acceptence Notification Start:
September 10, 2025

Submission End:
September 20, 2025

Final MenuScript Due:
September 28, 2025

Publication Date:
September 30, 2025
                         Notice Board: Call for PaperVol. 12 Issue 9      Submission Start Date: September 01, 2025      Acceptence Notification Start: September 10, 2025      Submission End: September 20, 2025      Final MenuScript Due: September 28, 2025      Publication Date: September 30, 2025




Volume XI Issue III

Author Name
Abhishek Shivhare, Komal Tahiliani, Amit Mishra
Year Of Publication
2024
Volume and Issue
Volume 11 Issue 3
Abstract
In the current social media era, end consumers' use of social media for entertainment, political propaganda, business marketing, education, and commerce has increased significantly. Social media is being used more and more for marketing, brand awareness, and other promotional purposes in addition to giving context for content. The negative aspect of this messaging is that it draws intruders who commit crimes. This work employs malicious collective data to capture aspects of society and users alike. The findings of these studies might be helpful in spotting fake news, rumors, and spam reviews that spread over social media networks. Additionally, covered are the user spaces for the military to influence military users by their ideology, for the election campaign to research the impact of political ideologies, and for criminology prediction to identify criminal user groups by influencing malevolent passive users by their ideology. This study provides an overview of the social media instru
PaperID
2024/IJTRM/3/2024/45386

Author Name
Shailendra Jaiswal, Shivangi Jaiswal, Rakesh Shivhare
Year Of Publication
2024
Volume and Issue
Volume 11 Issue 3
Abstract
In recent years, the integration of Natural Language Processing (NLP) techniques with chatbot development has gained significant traction, offering innovative solutions to various domains. This survey delves into the realm of chatbot development specifically tailored for handling admission-related voice queries in educational institutions. By leveraging NLP advancements, the objective is to construct intelligent response systems capable of comprehending diverse user inputs and providing contextually appropriate assistance. The survey begins with an exploration of fundamental NLP concepts, including tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis, laying the groundwork for chatbot development.
PaperID
2024/IJTRM/3/2024/45389