Optimizing N-gram based text feature selection in sentiment analysis for commercial products in Twitter through polarity lexicons.
Mark Anthony CabanlitKurt Junshean EspinosaPublished in: IISA (2014)
Keyphrases
- sentiment analysis
- commercial products
- social media content
- sentence level
- feature selection
- text classification
- sentiment classification
- text mining
- public opinion
- opinion mining
- positive or negative
- text documents
- n gram
- polarity classification
- text categorization
- micro blog
- sentiment lexicon
- multi aspect
- social media
- information retrieval
- machine learning
- product reviews
- mutual information
- social networks
- sentiment polarity
- free text
- online reviews
- web documents
- user generated
- sentiment words
- artificial intelligence
- cross domain
- cross lingual
- databases
- natural language processing
- knowledge discovery
- knowledge base
- neural network