A Comparison of Term Weighting Schemes for Text Classification and Sentiment Analysis with a Supervised Variant of tf.idf.
Giacomo DomeniconiGianluca MoroRoberto PasoliniClaudio SartoriPublished in: DATA (Revised Selected Papers) (2015)
Keyphrases
- text classification
- sentiment analysis
- tf idf
- term weighting schemes
- text documents
- text categorization
- term frequency
- feature selection
- weighting scheme
- sentiment classification
- term weighting
- machine learning
- text mining
- information retrieval
- bag of words
- language modeling
- labeled data
- term weights
- sentence level
- n gram
- unsupervised learning
- vector space model
- document clustering
- retrieval model
- weighting schemes
- knn
- supervised learning
- unlabeled data
- k nearest neighbor
- ranking algorithm
- cross lingual
- precision recall
- document representation
- learning algorithm
- neural network