Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42627
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Natural Language Processing (NLP) is pivotal in the evolution of chatbots, facilitating their ability to comprehend and generate human-like responses. This abstract synthesizes key insights into the role of NLP in chatbot technology, highlighting its applications, challenges, and prospects 8.NLP encompasses various techniques such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis, all essential for enabling chatbots to interpret user inputs accurately. These methodologies allow chatbots to engage in meaningful conversations by understanding context and intent, ultimately enhancing user experience
KEYWORDS
Publication Date
3/19/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...