Mobility in Unsupervised Word Embeddings for Knowledge Extraction - The Scholars' Trajectories across Research Topics.
Gianfranco LombardoMichele TomaiuoloMonica MordoniniGaia CodeluppiAgostino PoggiPublished in: Future Internet (2022)
Keyphrases
- knowledge extraction
- latent topics
- topic modeling
- topic models
- textual documents
- knowledge discovery
- data mining
- mobility data
- keywords
- word counts
- syntactic categories
- vector space
- moving objects
- systems engineering
- unsupervised learning
- trajectory data
- latent dirichlet allocation
- topic discovery
- low dimensional
- co occurrence
- stop words
- word recognition
- n gram
- word pairs
- euclidean space
- supervised learning
- semi supervised
- pointwise mutual information
- statistical topic models
- machine learning
- lexical semantics
- medical databases
- mobile agents
- manifold learning
- text documents
- diagnostic imaging
- mobility patterns
- word sense disambiguation
- unsupervised manner
- data sets
- text mining
- data points
- high dimensional
- data analysis
- information retrieval
- databases