COURSE DESCRIPTION
The course can help students to understand various aspects of NLP such as text classification, named entity recognition, machine translation, text summarization, question answering, language generation, sentiment analysis, text clustering, and speech recognition.
LEARNING OUTCOMES
- Named Entity Recognition (NER).
- Machine Translation.
- Text Clustering.
- Speech Recognition.
- Sentiment Analysis.
- Summarization of large text or content.
Course Features
- Lectures 0
- Quizzes 0
- Duration 29 Hours
- Skill level All levels
- Language English
- Students 27
- Assessments Yes