Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA).
Majid RamezaniMohammad-Salar ShahryariAmir-Reza Feizi-DerakhshiMohammad-Reza Feizi-DerakhshiPublished in: CoRR (2023)
Keyphrases
- latent semantic analysis
- broadcast news
- text summarization
- topic modeling
- video search
- co occurrence
- information retrieval
- singular value decomposition
- video retrieval
- semi supervised
- topic models
- latent semantic indexing
- named entity recognition
- tf idf
- latent dirichlet allocation
- document clustering
- natural language processing
- supervised learning
- multimedia
- information extraction
- machine learning
- visual words
- vector space
- question answering
- multi modal
- low level
- feature vectors
- search engine