Data Mining for Tweet Sentiment Classification

0 valoración promedio
( 0 valoraciones por Goodreads )
 
9783659295171: Data Mining for Tweet Sentiment Classification
Ver todas las copias de esta edición ISBN.
 
 
Reseña del editor:

The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model.

Biografía del autor:

Roy de Groot is a computer scientist who focuses on data analysis during his study and current work at Avanade Netherlands. He graduated for his bachelor and master Computing Science at the Utrecht University. His master thesis was about tweet sentiment classification, in which he tried to classify tweets with respect to their sentiment.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: EUR 6,74
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

De Groot Roy (author)
Publicado por LAP Lambert Academic Publishing 2012-11-18 (2012)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo paperback Cantidad disponible: > 20
Librería
Blackwell's
(Oxford, OX, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing 2012-11-18, 2012. paperback. Condición: New. Nº de ref. del artículo: 9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 40,72
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 6,74
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

de Groot, Roy
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Cantidad disponible: 1
Librería
Valoración
[?]

Descripción Condición: New. Publisher/Verlag: LAP Lambert Academic Publishing | Twitter Sentiment Analysis | The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model. | Format: Paperback | Language/Sprache: english | 160 gr | 220x150x6 mm | 108 pp. Nº de ref. del artículo: K9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 44,85
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,75
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

De Groot Roy
Publicado por LAP Lambert Academic Publishing (2016)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Paperback Cantidad disponible: 1
Impresión bajo demanda
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2016. Paperback. Condición: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9783659295171_lsuk

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 47,72
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,35
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

De Groot Roy
Publicado por LAP Lambert Academic Publishing (2012)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Cantidad disponible: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2012. PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: LQ-9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 43,03
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,11
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

de Groot, Roy
Publicado por LAP Lambert Academic Publishing (2012)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Cantidad disponible: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2012. PAP. Condición: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: IQ-9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 52,58
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,43
A Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Roy de Groot
Publicado por LAP Lambert Academic Publishing Nov 2012 (2012)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Taschenbuch Cantidad disponible: 1
Librería
Rheinberg-Buch
(Bergisch Gladbach, Alemania)
Valoración
[?]

Descripción LAP Lambert Academic Publishing Nov 2012, 2012. Taschenbuch. Condición: Neu. Neuware - The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model. 108 pp. Englisch. Nº de ref. del artículo: 9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 49,00
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 17,13
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Roy de Groot
Publicado por LAP Lambert Academic Publishing Nov 2012 (2012)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Taschenbuch Cantidad disponible: 1
Librería
BuchWeltWeit Inh. Ludwig Meier e.K.
(Bergisch Gladbach, Alemania)
Valoración
[?]

Descripción LAP Lambert Academic Publishing Nov 2012, 2012. Taschenbuch. Condición: Neu. Neuware - The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model. 108 pp. Englisch. Nº de ref. del artículo: 9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 49,00
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 17,13
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

8.

de Groot, Roy
Publicado por LAP LAMBERT Academic Publishin (2018)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Paperback Cantidad disponible: > 20
Impresión bajo demanda
Librería
Murray Media
(North Miami Beach, FL, Estados Unidos de America)
Valoración
[?]

Descripción LAP LAMBERT Academic Publishin, 2018. Paperback. Condición: New. Never used! This item is printed on demand. Nº de ref. del artículo: 3659295175

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 68,59
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

9.

de Groot Roy
Publicado por LAP Lambert Academic Publishing, United States (2012)
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Paperback Cantidad disponible: 10
Impresión bajo demanda
Librería
The Book Depository EURO
(London, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, United States, 2012. Paperback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****.The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model. Nº de ref. del artículo: AAV9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 70,88
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,37
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Roy de Groot
Publicado por LAP Lambert Academic Publishing
ISBN 10: 3659295175 ISBN 13: 9783659295171
Nuevo Paperback Cantidad disponible: > 20
Librería
BuySomeBooks
(Las Vegas, NV, Estados Unidos de America)
Valoración
[?]

Descripción LAP Lambert Academic Publishing. Paperback. Condición: New. 108 pages. Dimensions: 8.5in. x 5.8in. x 0.3in.The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. del artículo: 9783659295171

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 76,73
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda