Document classification and provenance has become an important area of computer science as the amount of digital information is growing significantly. Organisations are storing documents on computers rather than in paper form. Software is now required that will show the similarities between documents (i.e. document classification) and to point out duplicates and possibly the history of each document (i.e. provenance). Poor organisation is common and leads to situations like above. There exists a number of software solutions in this area designed to make document organisation as simple as possible. I'm doing my project with Pingar who are a company based in Auckland who aim to help organise the growing amount of unstructured digital data. Th...
Similarities generated from five models of lexical semantics were compared against human ratings of ...
The goal of this Master’s Thesis is to develop an approach for measuring the similarity among docu-m...
The volume of textual information that we encounter on a daily ba-sis continues to grow at an impres...
This report covers the implementation of software that aims to identify document versions and se-man...
This research looks at the most appropriate similarity measure to use for a document classification ...
This research looks at the most appropriate similarity measure to use for a document classification ...
covers the implementation of software that aims to identify document versions and se-mantically rela...
In recent years, development of tools and methods for measuring document similarity has become a thr...
Document similarity measures are crucial components of many text-analysis tasks, including informati...
Documents Clustering is a technique in which relationships between sets of documents are being autom...
2 The concept of a Document Similarity Measure is ill-defined due to the wide variety of existing me...
With large number of documents on the web, there is a increasing need to be able to retrieve the bes...
People in many organizations develop rich-text files, such as Microsoft Word (MS-Word) and Microsoft...
Measuring document similarity has shown its fundamental utilization in various text mining applicati...
Recent advance research in data warehousing and data mining emerges various types of information sou...
Similarities generated from five models of lexical semantics were compared against human ratings of ...
The goal of this Master’s Thesis is to develop an approach for measuring the similarity among docu-m...
The volume of textual information that we encounter on a daily ba-sis continues to grow at an impres...
This report covers the implementation of software that aims to identify document versions and se-man...
This research looks at the most appropriate similarity measure to use for a document classification ...
This research looks at the most appropriate similarity measure to use for a document classification ...
covers the implementation of software that aims to identify document versions and se-mantically rela...
In recent years, development of tools and methods for measuring document similarity has become a thr...
Document similarity measures are crucial components of many text-analysis tasks, including informati...
Documents Clustering is a technique in which relationships between sets of documents are being autom...
2 The concept of a Document Similarity Measure is ill-defined due to the wide variety of existing me...
With large number of documents on the web, there is a increasing need to be able to retrieve the bes...
People in many organizations develop rich-text files, such as Microsoft Word (MS-Word) and Microsoft...
Measuring document similarity has shown its fundamental utilization in various text mining applicati...
Recent advance research in data warehousing and data mining emerges various types of information sou...
Similarities generated from five models of lexical semantics were compared against human ratings of ...
The goal of this Master’s Thesis is to develop an approach for measuring the similarity among docu-m...
The volume of textual information that we encounter on a daily ba-sis continues to grow at an impres...