A significant portion of the data that is generated today is unstructured. Unstructured data includes social media comments, browsing history and customer feedback. Have you found yourself in a situation with a bunch of textual data to analyse, and no idea how to proceed? The objective of this tutorial is to enable you to analyze textual data in Python through the concepts of Natural Language Processing (NLP). You will first learn how to tokenize your text into smaller chunks, normalize words to their root forms, and then, remove any noise in your documents to prepare them for further analysis. Let's get started! Prerequisites In this tutorial, we will use Python's nltk library to perform all NLP operations on the text. At the time of writing this tutorial, we used version 3.4 of nltk. To install the library, you can use the pip command on the terminal: pip install nltk==3.4 To check which version of nltk you have in the system, you can import the library into the Python..
We're working hard to keep you on the cutting edge of your field with SitePoint Premium. We've got plenty of new books and mini-books to check out in the library — let us introduce you to them. Hands-On Full-Stack Development with Swift - Packt Build full-stack shopping list apps from scratch for web and mobile platforms using Xcode, Vapor, and Swift. Increase developer productivity by creating reusable client and server components. Develop back-end services for your apps and websites using Vapor framework. Read Hands-On Full-Stack Development with Swift. An Introduction to Data Visualization with Vue and D3.js Learn how to visualize data in your Vue project with charts and graphs, to better convey and communicate information. In this tutorial, you’ll do so using the D3.js library, which combines powerful visualization components and a data-driven approach to DOM manipulation. Read An Introduction to Data Visualization with Vue and D3.js. The Icon Handbook The Icon Handb..
React Hooks are special functions that allow you to "hook into" React features. For example, the useState hook allows you to add React state to a functional component. useEffect is another hook that allows you to perform side effects in function components. Side effects are usually implemented using lifecycle methods. With hooks, this is no longer necessary. This means you no longer need to define a class when constructing a React component. It turns out that the class architecture used in React is the cause of a lot of challenges that React developers face every day. We often find ourselves writing large complex components that are difficult to break up. Related code is spread over several lifecycle methods, which becomes tricky to read, maintain and test. In addition, we have to deal with the this keyword when accessing state, props and functions. We also have to bind functions to this to ensure they are accessible within the component. Then we have the excessive prop drilling probl..