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Chatbot application training using natural language processing techniques: Case of small-scale agriculture.
- Source :
-
AIP Conference Proceedings . 2024, Vol. 2991 Issue 1, p1-7. 7p. - Publication Year :
- 2024
-
Abstract
- Tacit knowledge, which is based on first-hand experience and is more difficult to articulate, has evolved alongside natural languages as they are passed down through the years. In computing, Natural Language Processing (or NLP) refers to a set of methods for studying and modelling human languages that may be studied and represented automatically. Extracting or searching through vast bodies of unregulated text for specific information can be a complex and time-consuming process. Knowledge comes in several shapes and sizes, but can usually be differentiated into two types: structured or unstructured. Using NLP techniques, unstructured text data can be translated into a structured and well-organized database and then used for question-answering purposes. This paper is about the implementation of NLP techniques to convert unstructured text data into a structured database for Chatbot application training. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CHATBOTS
*DATABASES
*NATURAL language processing
*TACIT knowledge
*AGRICULTURE
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2991
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 177782244
- Full Text :
- https://doi.org/10.1063/5.0199126