Python uses NLTK to divide a paragraph of text into sentences

Python Building NLTK Environment and Preparation Work: 1. Install Python: From the official Python website（ https://www.python.org/downloads/ ）Download and install the latest version of Python. 2. Install NLTK: Open the command line terminal and enter the following command to install NLTK: pip install nltk 3. Download NLTK corpus: Open the Python Interactive Environment (REPL) and enter the following command: python import nltk nltk.download() In the pop-up download window, select "all" to download all NLTK corpora or select the specific corpus you need. Introduction to NLTK module related class libraries: -* * nltk.sent_ Tokenize (text) * *: A function used to divide text into sentences. It takes a text string as input and returns a list containing sentences. -* * nltk. download() * *: A function used to download the datasets and modules required for NLTK. Sample dataset and its download URL: -You can use your own defined text for sentence segmentation, or use the sample dataset provided by NLTK to demonstrate. The sample dataset provided by NLTK includes corpora of some English works and other corpora. You can view the sample dataset by running the following code: python import nltk nltk.download('book') The following is a complete sample code that demonstrates how to use NLTK to divide a paragraph of text into sentences: python import nltk def separate_sentences(text): sentences = nltk.sent_tokenize(text) return sentences #Sample Text text = "This is the first sentence. This is the second sentence. This is the third sentence." #Split text into sentences sentences = separate_sentences(text) #Print each sentence for index, sentence in enumerate(sentences): print(f"Sentence {index+1}: {sentence}") Source code explanation: 1. Import the 'nltk' module. 2. Define a file named 'separate'_ The function 'sentiments' takes a piece of text as input and uses' nltk. send'_ The tokenize 'function divides text into sentences. 3. Define an example text. 4. Call 'separate'_ The sentences function splits Text segmentation into sentences and stores the results in the 'sentences' list. 5. Use a loop to traverse each sentence and print the sentence number and content. Running the above code will result in the following output: Sentence 1: This is the first sentence. Sentence 2: This is the second sentence. Sentence 3: This is the third sentence. In this way, you have successfully used NLTK to divide a paragraph of text into sentences.