EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions
| Autor: | Nayeem Ahmed, Md. Abdullah Al Muid, Md. Tarek Habib, Ruhullah Bin Kalim, Md. Masum Reza, Md. Sadekur Rahman |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Stop words Information retrieval Computer science Cosine similarity 02 engineering and technology computer.software_genre Chatbot 020901 industrial engineering & automation Tokenization (data security) 0202 electrical engineering electronic engineering information engineering Unsupervised learning 020201 artificial intelligence & image processing Image tracing Metric (unit) tf–idf computer |
| Zdroj: | Artificial Intelligence and Industrial Applications ISBN: 9783030539696 |
| DOI: | 10.1007/978-3-030-53970-2_16 |
| Popis: | In the present time Chatbot is an essential tool used by many organizations to provide services to their targeted customers round the clock. This research focuses on a domain-specific Chatbot that can be helpful for educational institutes. This Chatbot will be a virtual (representation) to the admission seekers. It will provide answers regarding the university, its departments, admission fees and other admission related FAQ. For the sake of the research, frequently asked questions of a university were collected and an unsupervised learning model along with natural language processing techniques was deployed to answer the questions of the admission candidates. Tokenization, stop words removal followed by vectorization were implemented for preprocessing the training data. User’s inputs were similarly processed and then tf-idf based cosine similarity applied to retrieve the best answer. Later, a user-centric evaluation metric was used to evaluate the model and as per the metric, our current model showed approximately 80% accuracy. |
| Databáze: | OpenAIRE |
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