Archika Jain
Vikram Khandelwal
Sohan Lal Gupta
- Assistant Professor Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Jaipur Rajasthan India
- Assistant Professor Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Jaipur Rajasthan India
- Assistant Professor Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Jaipur Rajasthan India
Abstract
Software applications commonly feature a user interface that falls into broad categories, namely graphical user interface (GUI), text-based UI, or a blend of both. This interface is predominantly employed in web-based and desktop applications. A chatbot, designed to engage with users, operates through the storage and retrieval of session data. It proves particularly beneficial in situations where obtaining information about individuals who are not affiliated as students or employees of a college can be challenging. By leveraging a chatbot, a website can effectively furnish valuable information to its users. A user-engaging chatbot functions by storing and retrieving session data, demonstrating significant utility in scenarios, where gathering information about individuals not associated as students or employees of a college, poses challenges. Utilizing a chatbot enables a website to efficiently provide valuable information to its users.
Keywords: Lemmatization, artificial intelligence, knowledge base, chatbot, NLP, Word-net
[This article belongs to Journal of Software Engineering Tools & Technology Trends(josettt)]
References
- Yuhua Li, David McLean, Bandar Zuhair A, O’Shea James D, Keeley Crockett. Sentence Similarity Based on Semantic Nets and Corpus Statistics. IEEE Trans Knowl Data Eng. 2006 Aug; 18(8): 1138–1150.
- Emanuela Haller, Traian Rebedea. Designing a Chat-bot that Simulates a Historical Figure. IEEE Conference Publications. 2013 Jul; 582–589.
- Pratik Slave, Vishruta Patil, Vyankatesh Gaikwad, Girish Wadhwa. General Enquiry Chat Bot. Int J Recent Innov Trends Comput Commun. 2015 Mar; 5(3): 463–466.
- Imran Ahmed, Shikha Singh. AIML Based Voice-Enabled Artificial Intelligent Chatterbot. International Journal of u- and e-Service, Science, and Technology (IJUESST). 2015; 8(2):375–384.
- Kulkarni Chaitali S, Bhavsar Amruta U, Pingale Savita R, Kumbhar Satish S. BANK CHATBOT – An Intelligent Assistant System Using NLP and Machine Learning. Int Res J Eng Technol. 2017 May; 4(5): 2374–2377.
- Studente S, Ellis S. Enhancing the Online Student Experience Through Creating Learning Communities—The Benefits of Chatbots in Higher Education. In: McKenzie S, Garivaldis F, Dyer KR, editors. Tertiary Online Teaching and Learning. Springer, Singapore; 2020. DOI: 10.1007/978-981-15-8928-7_3
- Verbot. https://en.wikipedia.org/wiki/Verbot
- Kumar Shivam, Khan Saud, Manav Sharma, Saurav Vashishth, Sheetal Patil. Chatbot for College Website. Int J Comput Technol. 2018 Jun; 5(6): 74–77.
- Ranoliya BR, Raghuwanshi N, Singh S. Chatbot for university-related FAQs. 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi. 2017; 1525–1530. doi: 10.1109/ICACCI.2017.8126057.
- Abdul-Kader Sameera A, John Question Answer System for Online Feedable New Born Chatbot. IEEE Intelligent Systems Conference, London, UK. 2017 Sep; 863–869.
- Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, Hsin-Min Wang. A Chatbot Using LSTM-based Multi- Layer Embedding for Elderly Care. IEEE International Conference on Orange Technologies (ICOT), Singapore. 2017; 70–74.
Journal of Software Engineering Tools & Technology Trends
| Volume | 11 |
| Issue | 01 |
| Received | March 5, 2024 |
| Accepted | April 2, 2024 |
| Published | April 5, 2024 |