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Authors: Raghvendra Mall ; Nahil Jain and Vikram Pudi

Affiliation: IIIT Hyderabad, India

Keyword(s): Deriving hot topics, Derived hotness, Correlated hot events.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Soft Computing ; Structured Data Analysis and Statistical Methods ; Symbolic Systems ; Web Mining

Abstract: We use text mining mechanisms to analyze Hot days in news feeds. We build upon the earlier work used to detect Hot topics and assume that we have already attained the Hot days. In this paper we identify the most relevant documents of a topic on a Hot day. We construct a similarity based technique for identifying and ranking these documents. Our aim is to automatically detect chains of hot correlated events over time. We develop a scheme using similarity measures like cosine similarity and KL-divergence to find correlation between these Hot days. For the ‘U.S. Presidential Elections’, the presidential debates which spanned over a week was one such event.

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Paper citation in several formats:
Mall, R.; Jain, N. and Pudi, V. (2011). DETECTING CORRELATIONS BETWEEN HOT DAYS IN NEWS FEEDS. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 367-370. DOI: 10.5220/0003627203750378

@conference{kdir11,
author={Raghvendra Mall. and Nahil Jain. and Vikram Pudi.},
title={DETECTING CORRELATIONS BETWEEN HOT DAYS IN NEWS FEEDS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={367-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003627203750378},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - DETECTING CORRELATIONS BETWEEN HOT DAYS IN NEWS FEEDS
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Mall, R.
AU - Jain, N.
AU - Pudi, V.
PY - 2011
SP - 367
EP - 370
DO - 10.5220/0003627203750378
PB - SciTePress

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