Restaurant review system with data visualization and text search using TF-IDF algorithm / Syazwina Abd Hamid
A single bad review can poison the mind of reader. That shows how online reviews are playing an important asset for decision-making. Today, restaurant review system allow feedback of customers based on personal opinion and experience to be shared with others. However, high availability of reviews ma...
Saved in:
Main Author: | Abd Hamid, Syazwina |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/35670/1/35670.pdf http://ir.uitm.edu.my/id/eprint/35670/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
by: Mohd Ridzuan, Nur Hafizah
Published: (2020) -
Malware detection using n-gram with TF-IDF weighting
by: Natasha, Zainal
Published: (2018) -
Classifying Muslim ideologies from Islamic websites using text analysis based on Naive Bayes and TF-IDF
by: Sharey Moustafa, Salma Moustafa, et al.
Published: (2022) -
Lucene search engine development: a beginner’s experience / Azilawati Azizan ... [et al.]
by: Azizan, Azilawati, et al.
Published: (2022) -
Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
by: Yaacob, Siti Hajar
Published: (2014)