Classification of Spanish election tweets (COSET) 2017: Classifying tweets using character and word level features

Ankush Khandelwal; Sahil Swami; Syed S. Akhtar; M. Shrivastava

Classification of Spanish election tweets (COSET) 2017: Classifying tweets using character and word level features

Ankush Khandelwal, Sahil Swami, Syed S. Akhtar, M. Shrivastava

Computer Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

This paper describes the International Institute of Information Technology of Hyderabad's submission to the task Classification Of Spanish Election Tweets (COSET) as a part of IBEREVAL-2017[1]. The task is to classify Spanish election tweets into political, policy, personal, campaign and other issues. Our system uses Support Vector Machines with radial basis function kernel to classify tweets. We dwell upon the character and word level features along with the word embeddings and train the classification model with them and present the results. Our best run achieves a F₁-macro score of 0.6054 on the test corpus for first phase and 0.8509 for the second phase.

Original language	English (US)
Pages (from-to)	49-54
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	1881
State	Published - Jan 1 2017
Event	2nd Workshop on Evaluation of Human Language Technologies for Iberian Languages, IberEval 2017 - Murcia, Spain Duration: Sep 19 2017 → …

Keywords

Classification
Decision tree
Extra tree
Machine Learning
Radial basis function kernel
Random forest
SVM
Twitter
Word2vec

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title = "Classification of Spanish election tweets (COSET) 2017: Classifying tweets using character and word level features",

abstract = "This paper describes the International Institute of Information Technology of Hyderabad's submission to the task Classification Of Spanish Election Tweets (COSET) as a part of IBEREVAL-2017[1]. The task is to classify Spanish election tweets into political, policy, personal, campaign and other issues. Our system uses Support Vector Machines with radial basis function kernel to classify tweets. We dwell upon the character and word level features along with the word embeddings and train the classification model with them and present the results. Our best run achieves a F1-macro score of 0.6054 on the test corpus for first phase and 0.8509 for the second phase.",

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T1 - Classification of Spanish election tweets (COSET) 2017

T2 - 2nd Workshop on Evaluation of Human Language Technologies for Iberian Languages, IberEval 2017

AU - Khandelwal, Ankush

AU - Swami, Sahil

AU - Akhtar, Syed S.

AU - Shrivastava, M.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - This paper describes the International Institute of Information Technology of Hyderabad's submission to the task Classification Of Spanish Election Tweets (COSET) as a part of IBEREVAL-2017[1]. The task is to classify Spanish election tweets into political, policy, personal, campaign and other issues. Our system uses Support Vector Machines with radial basis function kernel to classify tweets. We dwell upon the character and word level features along with the word embeddings and train the classification model with them and present the results. Our best run achieves a F1-macro score of 0.6054 on the test corpus for first phase and 0.8509 for the second phase.

AB - This paper describes the International Institute of Information Technology of Hyderabad's submission to the task Classification Of Spanish Election Tweets (COSET) as a part of IBEREVAL-2017[1]. The task is to classify Spanish election tweets into political, policy, personal, campaign and other issues. Our system uses Support Vector Machines with radial basis function kernel to classify tweets. We dwell upon the character and word level features along with the word embeddings and train the classification model with them and present the results. Our best run achieves a F1-macro score of 0.6054 on the test corpus for first phase and 0.8509 for the second phase.

KW - Classification

KW - Decision tree

KW - Extra tree

KW - Machine Learning

KW - Radial basis function kernel

KW - Random forest

KW - SVM

KW - Twitter

KW - Word2vec

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M3 - Conference article

AN - SCOPUS:85027862293

SN - 1613-0073

VL - 1881

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EP - 54

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 19 September 2017

ER -

Classification of Spanish election tweets (COSET) 2017: Classifying tweets using character and word level features

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