Natural Language Processing:Concept along with Case Study
Rating 3.85 out of 5 (100 ratings in Udemy)
What you'll learn
- What are various text processing techniques and their implementation in python.
- Case Study: Role of Hashing in Spam Filter compared to Countvectorizer.
Description
This course provides a basic understanding of NLP. Anyone can opt for this course. No prior understanding of NLP is required. Text Processing like Tokenization, Stop Words Removal, Stemming, different types of Vectorizers, WSD, etc are explained in detail with …
Duration 1 Hours 58 Minutes
Free
Self paced
Intermediate Level
English (US)
5597
Rating 3.85 out of 5 (100 ratings in Udemy)
Go to the Course
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Free
Self paced
Intermediate Level
English (US)
5597
Rating 3.85 out of 5 (100 ratings in Udemy)
Go to the Course