In the previous four chapters, we have dealt with many potential challenges for practical modern web mining. In doing so, we have looked into several tools (like browser automation, fingerprint managers, and proxy servers) that help us address these challenges, often in the form of additional software layers that we can integrate into our R workflows. Without the ambition of complete coverage of all relevant tools, the aim of this final chapter of this part of the book is to provide an overview of additional tools that might be of interest for the web mining inclined. And, without a doubt, AI tools are the one major modern web mining theme we have (intentionally) ignored so far.

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AI Tools for Web Mining: Overview and Outlook

  • Ulrich Matter

摘要

In the previous four chapters, we have dealt with many potential challenges for practical modern web mining. In doing so, we have looked into several tools (like browser automation, fingerprint managers, and proxy servers) that help us address these challenges, often in the form of additional software layers that we can integrate into our R workflows. Without the ambition of complete coverage of all relevant tools, the aim of this final chapter of this part of the book is to provide an overview of additional tools that might be of interest for the web mining inclined. And, without a doubt, AI tools are the one major modern web mining theme we have (intentionally) ignored so far.