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Classication of short documents to categorize consumer opinions
Mika Timonen
, Paula Silvonen
, Melissa Kasari
VTT Technical Research Centre of Finland
University of Helsinki
Research output
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Scientific
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Dive into the research topics of 'Classication of short documents to categorize consumer opinions'. Together they form a unique fingerprint.
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Keyphrases
Consumer Opinion
100%
Term Weighting
100%
Short Documents
100%
Classication
100%
Term Frequency-inverse Document Frequency (TF-IDF)
66%
Term Frequency
66%
Online Questionnaire
33%
Classification Approach
33%
Consumer Research
33%
Weighting Approach
33%
Text Categorization
33%
Naïve Bayes Classifier
33%
Divide-and-conquer
33%
KNN Classification
33%
Document Categorization
33%
TF-1 Cells
33%
Multi-label Learning
33%
Learning Methods
33%
Text Mining Application
33%
INIS
applications
100%
learning
100%
classification
100%
statistics
100%
mining
100%
Computer Science
Text Mining
100%
Bayes Classifier
100%
classification approach
100%
Text Categorization
100%