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» Text Categorization for Improved Priors of Word Meaning
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ICML
1997
IEEE
14 years 6 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
JETAI
2007
111views more  JETAI 2007»
13 years 5 months ago
Contextual vocabulary acquisition as computational philosophy and as philosophical computation
Contextual vocabulary acquisition (CVA) is the active, deliberate acquisition of a meaning for an unknown word in a text by reasoning from textual clues, prior knowledge, and hypo...
William J. Rapaport, Michael W. Kibby
JIIS
2002
168views more  JIIS 2002»
13 years 5 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 8 days ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
CIARP
2006
Springer
13 years 9 months ago
Oscillating Feature Subset Search Algorithm for Text Categorization
Abstract. A major characteristic of text document categorization problems is the extremely high dimensionality of text data. In this paper we explore the usability of the Oscillati...
Jana Novovicová, Petr Somol, Pavel Pudil