Using Latent Semantic Analysis to Identify Quality in Use (QU) Indicators from User Reviews

QR Code

Using Latent Semantic Analysis to Identify Quality in Use (QU) Indicators from User Reviews

The paper describes a novel approach to categorize users’ reviews according to the three Quality in Use (QU) indicators defined in ISO: effectiveness, efficiency and freedom from risk. With the tremendous amount of reviews published each day, there is a need to automatically summarize user rev...

Full description

Bibliographic Details
Main Authors:	Tan, Wendy Wei Syn, Bong, Chih How, Issa, Atoum
Format:	Proceeding
Language:	English
Published:	2014
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/8454/ http://ir.unimas.my/id/eprint/8454/1/Wendy%20Tan.pdf

Similar Items

CompUXLSA: A computational model in predicting user experience from reviews using Latent Semantic Analysis
by: Tan, Wendy Wei Syn, et al.
Published: (2016)

Measuring Software Quality in Use: State-ofthe-Art and Research Challenges
by: Bong, Chih How, et al.
Published: (2015)

A Framework to Predict Software “Quality in Use” from Software Reviews
by: Issa, Atoum, et al.
Published: (2013)

Discovering User Experience Variables from Textusing Computational Semantics Approaches
by: Tan, Wendy Wei Syn
Published: (2015)

Towards Resolving Software Quality-in-Use Measurement Challenges
by: Issa, Atoum, et al.
Published: (2014)

Building a Pilot Software Quality-in-Use Benchmark Dataset
by: Issa, Atoum, et al.
Published: (2015)

Joint Distance and Information Content Word Similarity Measure
by: Issa, Atoum, et al.
Published: (2014)

Categorization of Malay documents using latent semantic indexing
by: Ab Samat, Nordianah, et al.
Published: (2008)

A computational framework for predicting software quality-in-use from software reviews
by: Atoum, Issa
Published: (2015)

Using Latent Semantic Analysis for Automated Grading Programming Assignments
by: Kartinah, Zen, et al.
Published: (2011)

Latent semantic analysis - The dynamics of semantics web services discovery
by: Wu, Chen, et al.
Published: (2008)

UPM-QU jalin kerjasama
by: Harian Metro
Published: (2023)

Identifying latent groupings in market data: a latent class approach
by: Khalid, Haniza
Published: (2014)

Contemporary issues in Qu'an and Sunnah studies
Published: (2011)

A Proposed Framework for Automated Online Question and Answering System for Interview using Latent Semantic Analysis

Qu'est-ce que la philosophie africaine?
by: Lindon, Edward
Published: (2003)

Application of latent semantic indexing on Malay-English cross language information retrieval
by: Abdullah, Muhamad Taufik, et al.
Published: (2003)

QuCCs: an experimental of quantum key distribution using quantum cryptography and communication simulator
by: Ahmad Zukarnain, Zuriati, et al.
Published: (2019)

Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis
by: Maha Agung, Putera Agung, et al.
Published: (2022)

Enhancing latent semantic analysis (LSA) using tagging algorithm in retrieving Malay documents / Afiqah Bazlla Md Soom
by: Md Soom, Afiqah Bazlla
Published: (2018)

Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour
by: Jan, Ketil Arnulf, et al.
Published: (2014)

Acrylamide by QuEChERS extraction with LC-MS-MS detection
by: Kinsella, Brian
Published: (2012)

Prediction of the start of next recession using latent factors
by: Pooi, Ah Hin *, et al.
Published: (2016)

Determination of organochlorine pesticides in shrimp by gas chromatographyemass spectrometry using a modified QuEChERS approach
by: Omar, Norazlina, et al.
Published: (2013)

Towards semantic user query: A review
by: Hui-Hui, Wang, et al.
Published: (2015)

Pemfaktoran QU di dalam menentukan garis regresi / Wan Jaafar Endut
Published: (1992)

Factors influence brand equity of Qu Puteh / Nursyahirah Abu Bakar Azmi
by: Abu Bakar Azmi, Nursyahirah
Published: (2016)

Ultra high performance liquid chromatography technique to determine imidacloprid residue in rice using QuEChERS method
by: Chokeli, Raihanah, et al.
Published: (2016)

A machine learning framework for automated text categorization
by: Bong, Chih How
Published: (2001)

Quality nursing care in Australian paediatric hospitals: A Delphi approach to identifying indicators
by: Wilson, Sally, et al.
Published: (2012)

Identifying the indicators of premature starts in construction projects
by: Nur Fatin Izzati, Yusoff
Published: (2019)

Polycyclic aromatic hydrocarbons (PAHs) levels and toxicity in herbal teas marketed in Malaysia using QuEChERS and GC-FID
by: Azrina Aziz,, et al.
Published: (2022)

Evaluation tourism websites' usefulness and ease of use :a user's perspective
by: Bong, Sung Jong
Published: (2004)

Identifying Clusters Of Users In Twitter Dataset
by: Heidarian, Arash
Published: (2011)

A novel approach to latent class modelling: identifying the various types of body mass index individuals
by: Brown, S., et al.
Published: (2020)

The use of the Internet to activate latent ties in scholarly communities
by: Genoni, Paul, et al.
Published: (2005)

Method development for determination of multi-mycotoxin in vegetable oil using QuEChERS technique and liquid chromatography tandem mass spectrometry
by: Kuppan, Sharmili
Published: (2015)

Evaluation of pesticide residues in selected vegetables from Kuala Lumpur, Malaysia using modified QuEChERS and assessment of washing methods
by: Ishak, Azuha, et al.
Published: (2023)

Leveraging latent natural language processing techniques for user story management in agile software development
by: Imhmed, Hisham, et al.
Published: (2023)

Knowledge-based semantic relatedness measure using semantic features
by: Ali Muttaleb, Hasan, et al.
Published: (2020)