Summarize paragraph4/7/2023 ![]() ![]() We are not removing any other words or punctuation marks as we will use them directly to create the summaries.Įxecute the below code to create weighted frequencies and also to clean the text: # Removing special characters and digitsįormatted_article_text = re.sub('', ' ', article_text )įormatted_article_text = re.sub(r's+', ' ', formatted_article_text) The article_text will contain text without brackets which is the original text. # Removing Square Brackets and Extra SpacesĪrticle_text = re.sub(r'*]', ' ', article_text)Īrticle_text = re.sub(r's+', ' ', article_text) The below code will remove the square brackets and replace them with spaces. These references are all enclosed in square brackets. The first task is to remove all the references made in the Wikipedia article. Hence we are using the find_all function to retrieve all the text which is wrapped within the tags.Īfter scraping, we need to perform data preprocessing on the text extracted. In the Wikipedia articles, the text is present in the tags. Further on, we will parse the data with the help of the BeautifulSoup object and the lxml parser. The read() will read the data on the URL. The urlopen function will be used to scrape the data. Re is the library for regular expressions that are used for text pre-processing. The urllib package is required for parsing the URL. In this script, we first begin with importing the required libraries for web scraping i.e. We will try to summarize the Reinforcement Learning page on Wikipedia.Python Code for obtaining the data through web-scraping: To parse the HTML tags we will further require a parser, that is the lxml package: pip install lxml Use the below command: pip install beautifulsoup4 This library will be used to fetch the data on the web page within the various HTML tags. Now, to use web scraping you will need to install the beautifulsoup library in Python. ![]() We will obtain data from the URL using the concept of Web scraping. If you wish to summarize a Wikipedia Article, obtain the URL for the article that you wish to summarize.
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