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...

Full description

Saved in:
Bibliographic Details
Main Author: Soo, Alvin
Other Authors: Andy Khong Wai Hoong
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75309
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-75309
record_format dspace
spelling sg-ntu-dr.10356-753092023-07-07T15:58:14Z Can machines learn questions? Soo, Alvin Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering 2018-05-30T08:35:21Z 2018-05-30T08:35:21Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75309 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Soo, Alvin
Can machines learn questions?
description 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.
author2 Andy Khong Wai Hoong
author_facet Andy Khong Wai Hoong
Soo, Alvin
format Final Year Project
author Soo, Alvin
author_sort Soo, Alvin
title Can machines learn questions?
title_short Can machines learn questions?
title_full Can machines learn questions?
title_fullStr Can machines learn questions?
title_full_unstemmed Can machines learn questions?
title_sort can machines learn questions?
publishDate 2018
url http://hdl.handle.net/10356/75309
_version_ 1772828881044111360