Topics

The submitted papers must include research and developments in all fields of NLP, Machine Learning and Data Sciences, including (but not limited to): 

Machine Learning and Data Science

• Machine learning

• Deep Learning

• Data Mining

• Big Data

• Statistical Analysis

• Knowledge processing

• Semantic Web

• Knowledge discovery

Natural Language Processing

• Computational methods applied to language & text processing 

•  Text analysis 

•  Text classification 

•  Document clustering 

•  Machine translation 

•  Text-to-speech (TTS) and speech-to-text (STT) methods 

•  Authorship identification and verification 

•  Author profiling 

•  Plagiarism detection 

•  Knowledge extraction and retrieval from text

•  Sentiment analysis 

• Opinion mining

•  NLP applications 

•  Resources, and corpora 

• Chatbots

•  Text generation