Description
Text Processing with Python Essential Training course. In the world of big data, more and more information is consumed and analyzed in text form. Websites, social media, emails and chats have become key sources of data and insights. If you work with data, understanding how to deal with unstructured textual data is essential. In this course, instructor Kumaran Ponnambalam will help you build your text mining skill set, covering key techniques for extracting, cleaning, and processing text in Python. Kumaran examines key text processing concepts such as tokenization and rooting. He also looks at techniques for converting text into an analysis-ready form, including n-grams and TF-IDF. Along the way, he provides examples of these techniques using Python and the NLTK library.
What you will learn in Processing Text with Python Essential Training course
- Text mining today
- Document concepts
- Corpus concepts
- Introduction to the NLTK library
- Setting up the environment
- Reading raw files
- Reading files with corpus reader
- Exploring the corpus
- Analyzing the corpus
- Cleansing text
1m 58s
Stop word removal - Stemming
- Lemmatization
- Building n-grams
- Tagging parts of speech
- Term frequency-inverse document frequency (TF-IDF)
- Building a TF-IDF matrix
- Storing text
- Processing text data
- Scalable processing of text data
Course details
Course headings
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
73.5 MB
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