Improving Multi-class Text Classification with Naive Bayes

There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge collection requires organization; much of the work of organizing documents can be automated through text classification. The accuracy and our understanding of such systems greatly influences their usefulness. In this paper, we seek 1) to advance the understanding of commonly used text classification techniques, and 2) through that understanding, improve the tools that are available for text classification. We begin by clarifying the assumptions made in the derivation of Naive Bayes, noting basic properties and proposing ways for its extension and improvement. Next, we investigate the quality of Naive Bayes parameter estimates and their impact on classification. Our analysis leads to a theorem which gives an explanation for the improvements that can be found in multiclass classification with Naive Bayes using Error-Correcting Output Codes. We use experimental evidence on two commonly-used data sets to exhibit an application of the theorem. Finally, we show fundamental flaws in a commonly-used feature selection algorithm and develop a statistics-based framework for text feature selection. Greater understanding of Naive Bayes and the properties of text allows us to make better use of it in text classification.

Improving Multiclass Text Classification with the Support Vector Machine

We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive Bayes. We present full multiclass results on two well-known text data sets, including the lowest error to date on both data sets. We develop a new indicator of binary performance to show that the SVM's lower multiclass error is a result of its improved binary performance. Furthermore, we demonstrate and explore the surprising result that one-vs-all classification performs favorably compared to other approaches even though it has no error-correcting properties.

Montaigne. Un text sense pretext

El text 'Sobre els pedants' del filòsof Michel de Montaigne (1533-1592) serveix d'excusa perquè dos catedràtics de la UdG exposin conceptes i reflexions sobre la ciència i el coneixement

TU Graz: Course: 707.000 Web Science and Web Technology: Lecture 10: Text Mining

This class introduces basics of web mining and information retrieval including, for example, an introduction to the Vector Space Model and Text Mining. Guest Lecturer: Dr. Michael Granitzer Optional: Modeling the Internet and the Web: Probabilistic Methods and Algorithms, Pierre Baldi, Paolo Frasconi, Padhraic Smyth, Wiley, 2003 (Chapter 4, Text Analysis)

Changing text and background colours in Adobe Acrobat

A 4-minute video that shows how students with dyslexia or visual stress can change the text and background colours in Adobe Acrobat Reader to suit their needs.

How to highlight selected text on a PowerPoint slide

This short 7-minute video shows two methods which can be used to highlight selected words or phrases on a PowerPoint slide.

La problemàtica de l'adaptació dels llibres de text. 'La problemática de la adaptación de los libros de texto'.

Partiendo de la diversidad de efectos que se dan sobre una lengua propia cuando en este territorio se ha impuesto otra, se analiza la situación de la lengua catalana. Para conseguir la normalidad lingüística, tiene que desaparecer la imposición de la otra lengua y debe intensificarse la interrelación entre los ciudadanos de toda el área lingüística. Se destaca la importancia de la escuela como factor de cohesión lingüística, y la adecuación de los libros de texto a los currículums vigentes en el sistema educativo de las Islas Baleares, respetando las modalidades insulares de la lengua catalana. Para esta adaptación de los libros de texto existen diferentes vías, como la de substitución y la de la coincidencia.

INFO2009 Text Tutorial - Accessibility

Maximizing Accessibility in Software - by Denis's Angels

INFO2009 Poster: Accessibility - Text Tutorial

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Reference List: Accessibility Text Tutorial

List of references in Harvard format for the accessibility text tutorial created by Denis's Angels.

Full text library resources 2010-11

Finding journal articles from full text sources such as IEEEXplore, ACM and LNCS (Lecture Noters in Computer Science)

Full Text Library Resources for INFO1010

These slides support students in understanding how to respond to the challenge of: "I’ve been told not to use Google or Wikipedia to research my essay. What else is there?" The powerpoint guides students in how to identify high quality, up to date and relevant resources on the web that they can reliably draw upon for their academic assignments. The slides were created by the subject liaison librarian who supports the School of Electronics and Computer Science at the University of Southampton, Fiona Nichols.

Posar el nostre projecte docent al servei del llibre de text o a l'inrevés? : avaluar els materials curriculars per millorar el seu ús. '¿Poner nuestro proyecto docente al servicio del libro de texto o al revés? : evaluar los materiales curriculares para mejorar su uso'.

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Fons de llibres de text : una experiència per fomentar el consum responsable i l'educació ambiental als centres. 'Fondo de libros de texto : una experiencia para fomentar el consumo responsable y la educación ambiental en los centros'.

Resumen tomado de la propia revista

An Introduction to applying styles in MS Word 2010

Keeping formatting consistent is made easy by using Styles and they allow you to change the look of the text formatting throughout your file with a few clicks. This video shows how to apply styles in a MS Word 2010 file. Using Heading styles also allow you to make the most out of Word’s Navigation Pane and Table of Contents features – watch our videos on those too! For best viewing Download the video.