Can machines learn questions?
Analyzing information is crucial for businesses these days with many looking to reviews and feedbacks for areas of improvement. There is a need to sort the information gathered so that it can be processed easily and therefore an automatic document classifier is built. The two algorithms used to buil...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75309 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Analyzing information is crucial for businesses these days with many looking to reviews and feedbacks for areas of improvement. There is a need to sort the information gathered so that it can be processed easily and therefore an automatic document classifier is built. The two algorithms used to build the classifier are Latent Dirichlet Allocation and Extreme Learning Machine. To ensure the highest performance of the classifier, the dataset is pre-processed in different ways and tested to check its performance. Text pre-processing includes removal of common stop words, punctuation and numerical numbers. Through the different tests and experiments, the parameters that performed the best can be chosen and used to work on other datasets for further testing. |
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