Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak

Ishak, Nor Hidayah (2010) Text retrieval for Malaysian Parliament Document using latent semantic indexing technique / Nor Hidayah Ishak. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Information retrieval is a tool to perform searching an effectively and efficiently. Document retrieval or text retrieval is a branch of information retrieval where the information is stored in the form of text. According to Tengku Mohd, document retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the contents of documents (2005). The retrieval outcomes will be more effective if the system more understand the contents of documents (Tengku Mohd, 2005).The rapid growth of text document in Malay language such as parliamentary proceedings, newspaper articles, and academic publications can give harder to find relevant information. Therefore, this research is developed text retrieval prototype using Latent Semantic Indexing on transcribed Malaysian Parliament documents. By using Latent Semantic Indexing (LSI) technique is can speed up the process of searching and retrieving information from text documents. The Malaysian Parliament documents are maintained by House of Parliament. These documents are categorized into House of Commons and House of Lords.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Ishak, Nor Hidayah
2008287194
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Md Hanum, Haslizatul Fairuz
UNSPECIFIED
Subjects: Z Bibliography. Library Science. Information Resources > Library Science. Information Science > Information storage and retrieval systems
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science
Keywords: Information retrieval, parliamentary proceedings, academic publications
Date: 2010
URI: https://ir.uitm.edu.my/id/eprint/98095
Edit Item
Edit Item

Download

[thumbnail of 98095.pdf] Text
98095.pdf

Download (131kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
Processing

ID Number

98095

Indexing

Statistic

Statistic details