Text Preprocessing in Machine Learning Using Python - 1
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n this video, you will learn analysing textual data which is an important part of text preprocessing.
In any machine learning task, cleaning or preprocessing the data is as important as building the model itself, as the reliability of the model is highly dependent upon the quality of the data. And when it comes to unstructured data like text, this process becomes even more important. This is because machines are not able to understand the meaning behind the text like humans and therefore we need to encode text in a form suitable for machines to interpret by vectorizing it. But first it is necessary to familiarise yourself with text data.
Chapters:
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00:00 Introduction To Text Processing In Machine Learning
01:45 How To Load Data Into a pandas Dataframe From Github URL
03:18 Analysing The Data
03:34 Word Count Using Split Method in Python
11:46 Character Count in Python
20:09 Stopwords Count in Python
28:50 Number / digits Count in Python
34:42 Hashtags Count in Python
Here is Dataset link:
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https://raw.githubusercontent.com/aar...
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