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» Learning Word Vectors for Sentiment Analysis
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LREC
2010
126views Education» more  LREC 2010»
13 years 10 months ago
Predictive Features for Detecting Indefinite Polar Sentences
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
Michael Wiegand, Dietrich Klakow
AI
2011
Springer
13 years 20 days ago
Using a Heterogeneous Dataset for Emotion Analysis in Text
In this paper, we adopt a supervised machine learning approach to recognize six basic emotions (anger, disgust, fear, happiness, sadness and surprise) using a heterogeneous emotion...
Soumaya Chaffar, Diana Inkpen
DAS
2010
Springer
14 years 1 months ago
Towards more effective distance functions for word image matching
Matching word images has many applications in document recognition and retrieval systems. Dynamic Time Warping (DTW) is popularly used to estimate the similarity between word imag...
Raman Jain, C. V. Jawahar
IJON
2006
95views more  IJON 2006»
13 years 9 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
ICDAR
2007
IEEE
14 years 28 days ago
Identification of Latin-Based Languages through Character Stroke Categorization
This paper presents a language identification technique that detects Latin-based languages of imaged documents without OCR. The proposed technique detects languages through the wo...
S. J. Lu, L. Li, Chew Lim Tan