Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment.
Asad AbdiSiti Mariyam ShamsuddinShafaatunnur HasanJalil PiranPublished in: Expert Syst. Appl. (2018)
Keyphrases
- machine learning
- multi document summarization
- document summarization
- natural language processing
- extractive summarization
- linguistic features
- sentiment analysis
- sentence level
- linguistic information
- natural language text
- sentiment polarity
- automatic summarization
- document collections
- natural language
- topic segmentation
- document classification
- linguistic analysis
- automatic text categorization
- text documents
- information retrieval systems
- information retrieval
- sentiment classification
- text mining
- summary generation
- mutual reinforcement
- text classification
- document level
- syntactic analysis
- text summarization
- information extraction
- document retrieval
- relevant documents
- automatic text summarization
- linguistic knowledge
- opinion summarization
- vector space model
- machine learning algorithms
- web documents
- decision trees
- positive or negative
- xml documents
- opinion mining
- document clustering
- query terms
- learning algorithm
- keyphrase extraction
- document summaries
- data mining
- sentence extraction
- helping users
- feature selection
- user queries
- text categorization
- language model