Identifying Tweets that Contain a ’Heartwarming Story’

Manabu Okumura, Yohei Yamaguchi, Masatomo Suzuki, Hiroko Otsuka

2014

Abstract

We present a rather new task of detecting and collecting tweets that contain heartwarming stories from a huge amount of tweets on Twitter in this paper. We also present a method for identifying heartwarming tweets. Our prediction method is based on a supervised learning algorithm in SVM along with features from the tweets. We found by comparing the feature sets that adding sentiment features mostly improves the performance. However, simply adding the features for detecting a story in a tweet (past tense and tweet length) cannot contribute to improving the performance, while adding all the features to the baseline feature set mostly yields the best performance from among the feature sets.

Paper Citation

in Harvard Style

Okumura M., Yamaguchi Y., Suzuki M. and Otsuka H. (2014). Identifying Tweets that Contain a ’Heartwarming Story’ . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 323-326. DOI: 10.5220/0005129503230326

in Bibtex Style

@conference{kdir14,
author={Manabu Okumura and Yohei Yamaguchi and Masatomo Suzuki and Hiroko Otsuka},
title={Identifying Tweets that Contain a ’Heartwarming Story’},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={323-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005129503230326},
isbn={978-989-758-048-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Identifying Tweets that Contain a ’Heartwarming Story’
SN - 978-989-758-048-2
AU - Okumura M.
AU - Yamaguchi Y.
AU - Suzuki M.
AU - Otsuka H.
PY - 2014
SP - 323
EP - 326
DO - 10.5220/0005129503230326