mcenley
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23 Questions
0
votes
2
answers
416
views
Classifier sensitivity to combination of categorical and numerical data
0
votes
1
answers
706
views
Capturing conditional dependencies between words
1
votes
0
answers
465
views
Probabilistic Graphical Model Applications
2
votes
0
answers
384
views
Skewed multi-class data for classification
0
votes
2
answers
1k
views
Calculating topical similarity between two documents
2
votes
1
answers
898
views
Profiling users based on their content
0
votes
0
answers
376
views
Different values for SVM parameters on different runs of grid search on LibLinear
0
votes
2
answers
970
views
Varying results for same data in liblinear and libSvm
-2
votes
1
answers
843
views
Regularization paremeter in Megam
0
votes
2
answers
711
views
Duplicate features in a text classification task
0
votes
2
answers
1k
views
Calculate frequency of function words
0
votes
1
answers
1k
views
Numerical feature values for NLTK classifiers
1
votes
1
answers
936
views
Distributional clustering of words
0
votes
1
answers
1k
views
Difference between lexemes, orthographical variants and equivalence classes
9 Answers
23 Votes
21
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2
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50 Tags
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machine-learning
× 32 nlp × 22 nltk × 21 text-classification × 16 text-mining × 16 linguistics × 9 annotation × 9 noisy × 7 libsvm × 7 social × 6 |
natural-language-processing
× 6 hate-speech × 5 dataset × 5 kernel × 5 sensitive × 4 kernels × 4 data × 4 numerical × 4 python × 4 maxent × 4 |
dependency-parsing
× 4 categorical × 4 classifier × 4 youtube × 4 feature-extraction × 3 sentiment-analysis × 3 graphical-models × 3 scikits-learn × 2 probabilistic × 2 ontology × 2 |
scikits
× 2 function-words × 2 similarity × 2 lsi × 2 twitter × 2 lda × 2 text-classifcation × 2 liblinear × 2 clustering × 2 topics × 2 |
multi-class
× 1 probability-distributions × 1 polarity × 1 authorship × 1 topical × 1 corpus × 1 estimation × 1 tfidf × 1 language-model × 1 user-profiling × 1 |
13 Kudos
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● Well-Known Question × 24 ● Prominent Question × 24 ● Conspicuous Question × 24 ● Prized Question × 9 ● Appreciated Question × 5 ● Inquisitive × 1 |
● Blue Pencil × 1 ● Pronouncement × 1 ● Guide × 1 ● Commentator × 1 ● Participant × 1 ● Revisionist × 1 |
● Advocate × 1 |