Semantic Sensitive TF-IDF to Determine Word Relevance in Documents.
Amir JalilifardVinicius Fernandes CaridáAlex MansanoRogers CristoPublished in: CoRR (2020)
Keyphrases
- tf idf
- inverse document frequency
- term frequency
- word pairs
- term weighting
- information retrieval
- stop words
- vector space model
- word sense
- term weights
- text documents
- document clustering
- weighting scheme
- probabilistic retrieval models
- retrieval model
- semantic similarity
- cosine similarity
- document frequency
- text categorization
- semantic information
- retrieved documents
- text classification
- document representation
- test collection
- ranking algorithm
- information retrieval systems
- document retrieval
- document collections
- co occurrence
- index terms
- retrieval systems
- weighting schemes
- relevance model
- multimedia
- keywords
- relevance feedback
- text mining
- topic models
- language model
- web documents
- natural language
- average precision
- relevant documents