Natural Language Processing Course and Text Mining
The course covers Information retrieval Systems, Basics of Text Mining and Various Tools in Natural Language Processing including Parsing, Lemmatization, Text Categorization, Semantic Text Analysis, Semantic Role Lebeling, Text Summarization, Sentiment Analysis and emotional textual analysis, Chatbot principles.
The course assessment is usually made of Class test (One hour) worth 30% of total mark, and
Group project work (report submitted one week after last seminar worth 70 % of total mark
Due to Covid-19, in 2020/2021 the course will solely assessed via group project work.
The course covers Information retrieval Systems, Basics of Text Mining and Various Tools in Natural Language Processing including Parsing, Lemmatization, Text Categorization, Semantic Text Analysis, Semantic Role Lebeling, Text Summarization, Sentiment Analysis and emotional textual analysis, Chatbot principles.
The course assessment is usually made of Class test (One hour) worth 30% of total mark, and
Group project work (report submitted one week after last seminar worth 70 % of total mark
Due to Covid-19, in 2020/2021 the course will solely assessed via group project work.
- Teacher: Mourad Oussalah