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ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
14 years 3 hour 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, ...
CBMS
1998
IEEE
13 years 11 months ago
Lexicon Assistance Reduces Manual Verification of OCR Output
An OCR system chosen for its high recognition rate and low percent of false positives also assigns low confidence values to many characters that are actually correct. Human operat...
Susan E. Hauser, A. C. Browne, George R. Thoma, Al...
REFSQ
2010
Springer
13 years 10 months ago
A Domain Ontology Building Process for Guiding Requirements Elicitation
[Context and motivation] In Requirements Management, ontologies are used to reconcile gaps in the knowledge and common understanding among stakeholders during requirement elicitati...
Inah Omoronyia, Guttorm Sindre, Tor Stålhane...
JUCS
2010
139views more  JUCS 2010»
13 years 5 months ago
LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules
: Lemmatisation is the process of finding the normalised forms of words appearing in text. It is a useful preprocessing step for a number of language engineering and text mining t...
Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada L...
NLDB
2005
Springer
14 years 6 days ago
Natural Language Processing: Mature Enough for Requirements Documents Analysis?
Requirements engineering is the Achilles’ heel of the whole software development process, because requirements documents are often inconsistent and incomplete. Misunderstandings ...
Leonid Kof