Textblob Part of Speech Tagging Practice

Environmental construction: To implement the practical application of TextBlob part of speech tagging, you first need to install Python and TextBlob packages. Please ensure that Python version 3. x is installed. Then use the following command to install the TextBlob package: pip install textblob Dependency Class Library: -TextBlob: Python library for Natural language processing, with built-in part of speech tagging function. Dataset: The TextBlob library has built-in corpora for demonstrations, and we can use some of them for demonstrations. However, TextBlob's part of speech annotation function can be applied to any type of text. Sample data: Let's use a simple English sentence as sample data for part of speech tagging: python sentence = "TextBlob is an amazing library for processing textual data." Sample code: python #Import TextBlob class from textblob import TextBlob #Define sample text sentence = "TextBlob is an amazing library for processing textual data." #Create a TextBlob object blob = TextBlob(sentence) #Perform part of speech tagging tags = blob.tags #Print Results for word, tag in tags: print(f"{word}: {tag}") Running the above code will result in the following output: TextBlob: NNP is: VBZ an: DT amazing: JJ library: NN for: IN processing: VBG textual: JJ data: NNS The above is a complete example of using TextBlob for part of speech tagging.