NLTK with Python 3 for Natural Language Processing
Natural Language Processing is a field of computer science that focuses on the interaction between computers and humans. NLP techniques are used to analyze text, providing a way for computers to understand human language. A few examples of NLP applications include automatic summarization, topic segmentation, and sentiment analysis.
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries.
This NLTK toolkit is one of the most powerful NLP libraries which contains packages to make machines understand human language and reply to it with an appropriate response. Tokenization, Stemming, Lemmatization, Punctuation, Character count, word count are some of these packages which will be discussed in this course.
This course will provide an introduction to NLTK with Python for Natural Language Processing.
- Lectures 21
- Quizzes 0
- Duration 20 hours
- Skill level All levels
- Language English
- Students 17
- Assessments Yes