A framework for evaluating ontology meta-matching approaches
Case studies on using natural language processing techniques in customer relationship management software
A machine learning approach for performance-oriented decision support in service-oriented architectures
A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning
Representing unstructured text semantics for reasoning purpose
Parsing argued opinion structure in Twitter content
Modeling information diffusion in online social networks using a modified forest-fire model
Empirical study of sentiment analysis tools and techniques on societal topics
Sentiment word co-occurrence and knowledge pair feature extraction based LDA short text clustering algorithm
Multimodal depression detection on instagram considering time interval of posts
Distributed matrix factorization based on fast optimization for implicit feedback recommendation
Trajectory clustering method based on spatial-temporal properties for mobile social networks
On data lake architectures and metadata management
Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping
CGSPN : cascading gated self-attention and phrase-attention network for sentence modeling
TSCMF: Temporal and social collective matrix factorization model for recommender systems
Using reinforcement learning with external rewards for open-domain natural language generation
On exploring feature representation learning of items to forecast their rise and fall in social media
Topic modeling for sequential documents based on hybrid inter-document topic dependency
SDDM: an interpretable statistical concept drift detection method for data streams
Genre based hybrid filtering for movie recommendation engine
Forecasting emergency department admissions
LDA-based term profiles for expert finding in a political setting
A model for automated technological surveillance of web portals and social networks
Using an auxiliary dataset to improve emotion estimation in users’ opinions
