Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques.
Surabhi AdhikariSurendrabikram ThapaUsman NaseemPriyanka SinghHuan HuoGnana BharathyMukesh PrasadPublished in: Int. J. Hum. Comput. Stud. (2022)
Keyphrases
- early detection
- linguistic information
- early diagnosis
- natural language processing
- part of speech
- machine learning
- linguistic features
- breast cancer
- diabetic retinopathy
- lung cancer
- structural information
- information extraction
- computer aided diagnosis
- semantic information
- named entity recognition
- linguistic knowledge
- wordnet
- knowledge representation
- text mining
- natural language
- named entities
- machine learning methods
- skin cancer
- liver disease
- word sense disambiguation
- question answering
- machine learning algorithms
- artificial intelligence
- semantic relations
- sentiment analysis
- machine translation
- statistical methods
- text summarization
- text classification
- co occurrence
- feature vectors
- training data
- learning algorithm