Text classification of customer inquiries via e-mail – Armin WEIGOLD
Armin WEIGOLD
Master's thesis
Text classification of customer inquiries via e-mail
Abstract:
This work addresses a problem of text classification. The research question focuses on identifying the optimal workflow to solve the given problem. The dataset consists of roughly 430,000 labeled e-mails. The problem is tackled in two steps, namely vectorizing the text and applying a classification algorithm. Several algorithms, including Word2vec and Tf-idf for vectorization, and Random Forest, Support …more
Language used: English
Date on which the thesis was submitted / produced: 6. 9. 2023
Thesis defence
- Supervisor: prof. Dr. Andreas Fischer
Citation record
ISO 690-compliant citation record:
WEIGOLD, Armin. \textit{Text classification of customer inquiries via e-mail}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2023. Available from: https://theses.cz/id/huqgeb/.
The right form of listing the thesis as a source quoted
WEIGOLD, Armin. Text classification of customer inquiries via e-mail. České Budějovice, 2023. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceMaster programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science
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