NLP Tutorial 2 - Working with Text Files in Python for Natural Language Processing (NLP)
In this video, we will learn How to work with text files in python for NLP. Natural Language Processing (NLP) is the field of Artificial Intelligence, where we analyze text using machine learning models. Text Classification, Spam Filters, Voice text messaging, Sentiment analysis, Spell or grammar check, Chatbot, Search Suggestion, Search Autocorrect, Automatic Review, Analysis system, Machine translation are the applications of NLP.
String formatting enables us to display the strings in a specified format. This helps us to improve the visual effect and also to process the strings later. The format() method formats the specified value(s) and inserts them inside the string’s placeholder. The placeholder is defined using curly brackets: {}. To create an f-string, prefix the string with the letter “ f ”. The string itself can be formatted in much the same way that you would with str.format(). F-strings provide a concise and convenient way to embed python expressions inside string literals for formatting.
🔊 Watch till last for a detailed description
03:25 String formatter
12:38 Working with .csv or .tsv files
21:46 Using python inbuilt commands for R/W text file
30:02 File writing
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