All Outputs (29)

CAWIML: a computer assisted web interviewing mark-up language. (2016)
Thesis
LLORET PEREZ, J.M. 2016. CAWIML: a computer assisted web interviewing mark-up language. Robert Gordon University, MRes thesis.

Computer-Assisted Web Interviewing (CAWI) is the new mode of conducting surveys through web browsers. This on-line solution extends the traditional paper questionnaire with functionality to inform the order of questions, the logic to guide question r... Read More about CAWIML: a computer assisted web interviewing mark-up language..

Contextual lexicon-based sentiment analysis for social media. (2016)
Thesis
MUHAMMAD, A.B. 2016. Contextual lexicon-based sentiment analysis for social media. Robert Gordon University, PhD thesis.

Sentiment analysis concerns the computational study of opinions expressed in text. Social media domains provide a wealth of opinionated data, thus, creating a greater need for sentiment analysis. Typically, sentiment lexicons that capture term-sentim... Read More about Contextual lexicon-based sentiment analysis for social media..

Role of semantic indexing for text classification. (2014)
Thesis
SANI, S. 2014. Role of semantic indexing for text classification. Robert Gordon University, PhD thesis.

The Vector Space Model (VSM) of text representation suffers a number of limitations for text classification. Firstly, the VSM is based on the Bag-Of-Words (BOW) assumption where terms from the indexing vocabulary are treated independently of one anot... Read More about Role of semantic indexing for text classification..

Hybrid models for combination of visual and textual features in context-based image retrieval. (2013)
Thesis
KALICIAK, L. 2013. Hybrid models for combination of visual and textual features in context-based image retrieval. Robert Gordon University, PhD thesis.

Visual Information Retrieval poses a challenge to intelligent information search systems. This is due to the semantic gap, the difference between human perception (information needs) and the machine representation of multimedia objects. Most existing... Read More about Hybrid models for combination of visual and textual features in context-based image retrieval..

Case reuse in textual case-based reasoning. (2011)
Thesis
ADEYANJU, I.A. 2011. Case reuse in textual case-based reasoning. Robert Gordon University, PhD thesis.

Text reuse involves reasoning with textual solutions of previous problems to solve new similar problems. It is an integral part of textual case-based reasoning (TCBR), which applies the CBR problem-solving methodology to situations where experiences... Read More about Case reuse in textual case-based reasoning..

A knowledge acquisition tool to assist case authoring from texts. (2009)
Thesis
ASIIMWE, S.M. 2009. A knowledge acquisition tool to assist case authoring from texts. Robert Gordon University, PhD thesis.

Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without even thinking about it. For exa... Read More about A knowledge acquisition tool to assist case authoring from texts..

Representation and learning schemes for sentiment analysis. (2009)
Thesis
MUKRAS, R. 2009. Representation and learning schemes for sentiment analysis. Robert Gordon University, PhD thesis.

This thesis identifies four novel techniques of improving the performance of sentiment analysis of text systems. Thes include feature extraction and selection, enrichment of the document representation and exploitation of the ordinal structure of rat... Read More about Representation and learning schemes for sentiment analysis..

Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. (2007)
Thesis
CHAKRABORTI, S. 2007. Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. Robert Gordon University, PhD thesis.

Textual Case Based Reasoning (TCBR) aims at effective reuse of information contained in unstructured documents. The key advantage of TCBR over traditional Information Retrieval systems is its ability to incorporate domain-specific knowledge to facili... Read More about Introspective knowledge acquisition for case retrieval networks in textual case base reasoning..

Complexity modelling for case knowledge maintenance in case-based reasoning. (2006)
Thesis
MASSIE. S. 2006. Complexity modelling for case knowledge maintenance in case-based reasoning. Robert Gordon University, PhD thesis.

Case-based reasoning solves new problems by re-using the solutions of previously solved similar problems and is popular because many of the knowledge engineering demands of conventional knowledge-based systems are removed. The content of the case kno... Read More about Complexity modelling for case knowledge maintenance in case-based reasoning..