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ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
15 years 12 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, ...
SIGIR
2003
ACM
15 years 12 months ago
Generating hierarchical summaries for web searches
Hierarchies provide a means of organizing, summarizing and accessing information. We describe a method for automatically generating hierarchies from small collections of text, and...
Dawn J. Lawrie, W. Bruce Croft
SIGIR
1999
ACM
15 years 11 months ago
The Decomposition of Human-Written Summary Sentences
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
Hongyan Jing, Kathleen McKeown
DL
1999
Springer
187views Digital Library» more  DL 1999»
15 years 11 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...
FINTAL
2006
15 years 10 months ago
Experiments in Passage Selection and Answer Identification for Question Answering
Question Answering (QA) aims at providing users with short text units that answer specific, well-formed natural language questions. A two stage architecture is widely adopted for t...
Horacio Saggion, Robert J. Gaizauskas