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» Topic Tracking Based on Linguistic Features
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IJCNLP
2005
Springer
15 years 5 months ago
Topic Tracking Based on Linguistic Features
This paper explores two linguistically motivated restrictions on the set of words used for topic tracking on newspaper articles: named entities and headline words. We assume that n...
Fumiyo Fukumoto, Yusuke Yamaji
SIGIR
2000
ACM
15 years 4 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
TREC
2008
15 years 1 months ago
UTDallas at TREC 2008 Blog Track
This paper describes our participation in the 2008 TREC Blog track. Our system consists of 3 components: data preprocessing, topic retrieval, and opinion finding. In the topic ret...
Bin Li, Feifan Liu, Yang Liu
NAACL
2010
14 years 9 months ago
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
In this paper we examine different linguistic features for sentimental polarity classification, and perform a comparative study on this task between blog and review data. We found...
Feifan Liu, Dong Wang, Bin Li, Yang Liu
FLAIRS
2009
14 years 9 months ago
Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies
We evaluate conversational transcripts of deceptive speech using a sophisticated natural language processing tool called Coh-Metrix. Coh-Metrix is unique in that it tracks linguis...
Nicholas D. Duran, Scott A. Crossley, Charles Hall...