Python uses Pattern to divide a paragraph of text into sentences

Before using Pattern to divide a paragraph of text into sentences, you first need to build a Python environment and install the Pattern library. Here are the steps for preparation: 1. Install Python: The first step is to install Python, which can be found on the official website https://www.python.org/downloads/ Download and install the latest version of Python. 2. Install Pattern: Pattern is an open source Python library that provides various Natural language processing tools, including sentence segmentation, part of speech tagging, entity recognition and other functions. You can use pip to install the Pattern using the following command: pip install pattern 3. Download Datasets: In the task of sentence segmentation, there is no need to download additional datasets. Next, we will use the Pattern library to implement a complete example of dividing a paragraph of text into sentences. python from pattern.text import Sentence def split_sentences(text): sentences = [] #Using the Sentence class in the Pattern library to divide text into sentences for sentence in Sentence(text).split(): sentences.append(sentence.string) return sentences #Enter a paragraph of text text = "Pattern is a web mining module for Python. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and visualization." #Call the function to break the text into sentences sentences = split_sentences(text) #Output clause results for i, sentence in enumerate(sentences): print("Sentence {}: {}".format(i+1, sentence)) In the above code, we first imported the Sentence class from the Pattern library. And then we defined a file called split_ The sentences function takes a string parameter of text and returns a list containing the result of a clause. Internally, we use the Sentence class to divide the text into sentences and store the sentence string in a list. Finally, we use the sample text to call split_ Sentences function and iterate through the printed clause results. Running the above code will output the following results: Sentence 1: Pattern is a web mining module for Python. Sentence 2: It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and visualization. In this way, we successfully used Pattern to divide a paragraph of text into two sentences.