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SMS Classification with Text Mining for Generating Financial Statement
Details
The main objective of this study is to present the financial statement of the user for a particular period usually a month. SMS contain vital information about the spendings and earnings. With the help of text mining, state vector machines (SVM), natural language processing (NLP), SMS is classified as financial/non-financial SMS and then Financial SMS are further classified as Credit/Debit type. Results are tabulated and presented to the user as a financial statement.
Autorentext
Bhupendra Mishra has done BTech (ECE) from NIT Bhopal. He has done EPABA (Business Analytics) from IIM Ahemedabad. His Area of Interests are Artificial Intelligence, Machine Learning, NLP, Text Mining and Statistics. He has published research papers in International Journals and have 4 copyrights in his name.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 441g
- Autor Bhupendra Mishra
- Titel SMS Classification with Text Mining for Generating Financial Statement
- Veröffentlichung 31.07.2019
- ISBN 6200262942
- Format Kartonierter Einband
- EAN 9786200262943
- Jahr 2019
- Größe H220mm x B150mm x T18mm
- Anzahl Seiten 284
- GTIN 09786200262943