A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification.
Conor LynchChristian O'LearyGary SmithRose BainJacqueline KehoeAlex VakaloudisRichrd LingerPublished in: IJCNN (2020)
Keyphrases
- machine learning algorithms
- sentiment analysis
- social media content
- image classification
- open source
- sentence level
- online reviews
- product reviews
- text mining
- public opinion
- opinion mining
- benchmark data sets
- machine learning
- learning algorithm
- sentiment classification
- text classification
- positive or negative
- machine learning methods
- social media
- learning problems
- user generated content
- decision trees
- micro blog
- text documents
- customer reviews
- natural language processing
- multi aspect
- learning tasks
- image features
- feature extraction
- machine learning models
- information retrieval
- social networking
- user generated
- sentiment words
- product features
- sentiment polarity
- sentiment lexicon
- data sets
- spam filtering
- transfer learning
- multi label
- knowledge discovery
- social networks
- data mining
- neural network