College Enquiry Chat Bot Using Python |
Author(s): |
Shilpa Katore , Genba Sopanrao Moze College Of Engineering, Balewadi, Pune.; Shruti Kale, Genba Sopanrao Moze College Of Engineering, Balewadi, Pune.; Priya Shid, Genba Sopanrao Moze College Of Engineering, Balewadi, Pune.; Prof. Bharati Kudale, Genba Sopanrao Moze College Of Engineering, Balewadi, Pune. |
Keywords: |
Natural Language Processing (NLP), Natural Language Toolkit (NLTK), AI or Machine Learning Algorithms |
Abstract |
This project is focusing on creating a chatbot to be used by students to get their queries responded easily from the college website. The College Enquiry Chatbot has the capacity to make friendly conversations; respond to the course and faculty details; answer the frequently asked questions; and give the timings, address, contacts, and events information of the. To build the chatbot, Most of the existing chatbots lack empathy and fail to accommodate anything outside of the script. In order to address these problems, the College Enquiry Chatbot extends the implementation of the chatbots by. Although sentimental analysis correctly recognizes the user's query as positive, negative and neutral, the system was partially successful in adding empathy to the chatbot. It is because the system requires more rigorous training data to handle all queries which are off-script. However, for such queries, active learning helps to improve the chatbot via performance since it correctly understands the user's questions, asks clarifying questions, and then retrains the system to give the response what the user intends to get. The future work includes training the chatbot with more varied data; increasing the scope of the chatbot by adding a speech recognition feature so that users can speak to get responses; and including integration with multiple channels such as phone call, SMS, and various social media platforms. |
Other Details |
Paper ID: IJSRDV9I50101 Published in: Volume : 9, Issue : 5 Publication Date: 01/08/2021 Page(s): 108-111 |
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