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DRR
2004
13 years 7 months ago
Retrieving topical sentiments from online document collections
Retrieving documents by subject matter is the general goal of information retrieval and other content access systems. There are other aspects of textual content, however, which fo...
Matthew F. Hurst, Kamal Nigam
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
13 years 10 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
WWW
2007
ACM
14 years 5 months ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...
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
ACL
2010
13 years 2 months ago
Generating Focused Topic-Specific Sentiment Lexicons
We present a method for automatically generating focused and accurate topicspecific subjectivity lexicons from a general purpose polarity lexicon that allow users to pin-point sub...
Valentin Jijkoun, Maarten de Rijke, Wouter Weerkam...