Comparing Summarisation Techniques for Informal Online Reviews

Mhairi McNeill, Robert Raeside, Martin Graham, Isaac Roseboom


In this paper we evaluate three methods for summarising game reviews written in a casual style. This was done in order to create a review summarisation system to be used by clients of deltaDNA. We look at one well-known method based on natural language processing, and describe two statistical methods that could be used for summarisation: one based on TF-IDF scores another using supervised latent Dirichlet allocation. We find, due to the informality of these online reviews, that natural language based techniques work less well than they do on other types of reviews, and we recommend using techniques based on the statistical properties of the words’ frequencies. In particular, we decided to use a TF-IDF score based system in the final system.


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Paper Citation

in Harvard Style

McNeill M., Raeside R., Graham M. and Roseboom I. (2015). Comparing Summarisation Techniques for Informal Online Reviews . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 322-329. DOI: 10.5220/0005612203220329

in Bibtex Style

author={Mhairi McNeill and Robert Raeside and Martin Graham and Isaac Roseboom},
title={Comparing Summarisation Techniques for Informal Online Reviews},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},

in EndNote Style

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - Comparing Summarisation Techniques for Informal Online Reviews
SN - 978-989-758-158-8
AU - McNeill M.
AU - Raeside R.
AU - Graham M.
AU - Roseboom I.
PY - 2015
SP - 322
EP - 329
DO - 10.5220/0005612203220329