We will go into some of these tools in more depth elsewhere in the WIPO Manual on Open Source Patent Analytics and leave you to explore the rest of the tools for yourself.īefore we start it is important to note that we cover only a fraction of the available tools that are out there. The aim of the chapter is to serve as a quick reference guide for some of the main tools in the tool kit.
This chapter provides an overview of the open source and free software tools that are available for patent analytics.
15.7 Basic Searching using searchplos(), Navigating and Exporting Data.14.12 Creating an infographic in infogr.am.14.10 Selecting applicants using filter().14.9 Tidying data - Separating and Gathering.14.8 Country Trends using spread() and pivot_wider().12.3 Importing a file to Gephi with the converter plugin.12.2 Opening Gephi and Installing Plugins.11.7 Saving, Display and Privacy Settings.10.8.3 Phonetic Fingerprint (Metaphone 3) clustering.10.4.5 Address Encoding and related problems.10.4.3 Remove leading and trailing whitespace.7.1.12 EPO World Patent Statistical Database.7.1.11 OECD Patent Databases & Resources.6.1.2 Patent Landscape Reports datasets.5.2 As a form of intellectual property right.4.8.7 Google Word Trees on the Google Developers site provides instructions for generating word trees using Javascript.4.8.5 Annotation Tools for Machine Learning.4.2.1 Open Refine (formerly Google Refine).2.1.6 Sharing Data and The Writing of the Manual.2.1.5 Analysing and Visualizing Patent Data.2.1.1 An Overview of Open Source and Free Software Tools.The WIPO Manual on Open Source Patent Analytics.You can open the Start Page at any time by selecting File > New Process.
If you want to do it yourself, create a new (blank) process from scratch in the Design View.If you want to see more examples, choose from one of the templates in the Samples Repository.If you want additional guidance, or you want to accelerate your data preparation and model building, try Turbo Prep, RapidMiner's tool for interactive data preparation, and Auto Model, RapidMiner's solution for automated machine learning.Once you've studied the tutorials, you can decide on your next step with the help of the Start Page: The Learn tab links to the following additional material: Later, you can reopen the tutorials by selecting File > New Process, It's a good idea to read the introduction and take the guided tour. Step-by-step tutorials are activated the first time you open RapidMiner Studio.
Probably the best way to learn how to use RapidMiner Studio is the hands-on approach: You are viewing the RapidMiner Studio documentation for version 9.1 - Check here for latest version Getting Started with RapidMiner Studio