Tag Archives: topics extraction

Posts related to MeaningCloud’s Topic Extraction

New Release: Financial Industry Vertical Pack

Some text analytics scenarios need more than general purpose resources to get the results you need. If you are familiar with MeaningCloud, you’ll know that resource customization is one of our main features and great advantages. The parametrization available in the different analyses we offer enables you to adapt our tools to exactly the type of analysis you want. You can do this in two ways: using any of our predefined resources or creating your own with our customization consoles.

In this line, we are happy to announce that we have released a new vertical pack for the finance industry. This pack will allow you to analyze your financial contents and interpret them according to a standard vocabulary (FIBO™).

MeaningCloud release

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Topics Extraction 2.0: Migration guide

We have released a new version of our information extraction API, Topics Extraction. In Topics Extraction 2.0:

  • The topics extracted have been reordered to extract information in a more coherent way.
  • Configuration options have been changed to provide flexibility in the analyses and to make the options available more understandable.
  • We’ve refactored our code with two short-term goals in mind:
    • Improving the quality concepts/keywords extraction.
    • Making easier and more flexible the use of user dictionaries.
  • A new element has been added, quantity expressions to cover a specific type of information that was hard to obtain with previous versions.
  • Some fields at the output have been modified, either to give them more appropriate names or to make them easier to use and understand.
  • A configurable interface language has been added to improve multilingual analyses.

All these improvements mean the migration process is not as fast as it would be with a minor version. In this post, we explain what you need to know to migrate your applications from Topics Extraction 1.2 to Topics Extraction 2.0.
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#ILovePolitics: Popularity analysis in the news

If you love politics, regardless of your party or political orientation, you may know that election periods are exciting moments and having good information is a must to increase the fun. This is why you follow the news, watch or listen to political analysis programs on TV or radio, read surveys or compare different points of view from one or the other side.

American politics in a nutshell

American politics

Starting with this, we are publishing a series of tutorials where we will show how to use MeaningCloud for extracting interesting political insights to build your own political intel reports. MeaningCloud provides useful capabilities for extracting meaning from multilingual content in a simple and efficient way. Combining API calls with open source libraries in your favorite programming language is so easy and powerful at the same time that will awaken for sure the Political Data Scientist hidden inside of you. Be warned!

Our research objective is to analyze mentions to people, places, or entities in general in the Politics section of different news media. We will try to carry out an analysis that can answer the following questions:

  • Which are the most popular names?
  • Does their popularity depend on the political orientation of the newspaper?
  • Is it correlated somehow to the popularity surveys or voting intentions polls?
  • Do these trends change over time?

Before we begin

This is a technical tutorial in which we will develop some coding. However, we will try to guide you through the whole process, so everyone can follow the explanations and understand the purpose of the tutorial.

For the sake of generality and better understanding, we will focus on U.S. Politics in English, but obviously you can easily adapt the same analysis for your own country or (MeaningCloud supported) language.

And last but not least, this tutorial will use PHP as programming language for the code examples. However, any non-rookie programmer should be able to translate the scripts into any language of their choice.

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