English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 1h 24m | 316 MB
Learn the tricks and tips that will help you design Text Analytics solutions
Natural Language Processing (NLP) is a feature of Artificial Intelligence concerned with the interactions between computers and human (natural) languages. This course includes unique videos that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.
In this course, you will learn what WordNet is and explore its features and usage. It will teach how to extract raw text from web sources and introduce some critical pre-processing steps. You will also get familiarized with the concept of pattern matching as a way to do text analysis.
By the end of the course, you will be confident & have covered various solutions, covering natural language understanding, Natural Language Processing, and syntactic analysis.
This video course takes a solution-based approach where every topic is explicated with the help of a real-world example.
What You Will Learn
- Import, access external corpus & explore frequency distribution of the text in corpus file
- Learn WordNet usage and a couple of simple application assignments using WordNet
- Read word & text files and create user-defined corpus
- Learn HTML parsing using BeautifulSoup
- Perform tokenization, stemming, lemmatization, spelling corrections, stop words removals, and more
- Understand Regular expressions for character matching
- Write your own Regex tokenizer & stemmer using RNNs
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