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» Topic Tracking Based on Linguistic Features
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IJCNLP
2005
Springer
13 years 10 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
13 years 9 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
13 years 6 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
13 years 2 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
13 years 2 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...