Building NLP model for classifying short-tail conversational student’s query data – Kural Arasu Venkatesh, B.E.
Kural Arasu Venkatesh, B.E.
Master's thesis
Building NLP model for classifying short-tail conversational student’s query data
Abstract:
The objective of this thesis is to construct a Natural Language Processing (NLP) model capable of effectively categorizing students' queries based on their respective intents, thereby enabling their efficient and accurate routing to the appropriate department. To accomplish this, an LSTM model was selected owing to its well-established capacity for handling textual data. Prior to feeding the data into …more
Language used: English
Date on which the thesis was submitted / produced: 3. 4. 2023
Thesis defence
- Date of defence: 24. 5. 2023
- Supervisor: doc. Ing. Jan Tyrychtr, Ph.D.
- Reader: Richard Vágner, externi
Citation record
ISO 690-compliant citation record:
VENKATESH, Kural Arasu. \textit{Building NLP model for classifying short-tail conversational student’s query data}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/nj5p0k/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme:
Informatics
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