Category Archives: MeaningCloud

This category groups the different aspects of MeaningCloud we talk about in the blog.

Accelerate text analytics’ time-to-benefit with our Vertical Packs

At MeaningCloud we have published our first Vertical Packs.

Our goal for them is to provide you with the fastest and least costly and risky way to make your text analytics initiatives profitable.

Preconfigured models and dictionaries

Usually one of the main costs of text analytics projects lies in building the models and dictionaries needed to adapt the tools to each application scenario, and at MeaningCloud we have always made it very easy thanks to the customization tools that the product includes.

But for those who do not have the resources to carry out this adaptation, the Vertical Packs give it to you already prepared for a set of scenarios. The Packs consist of a series of pre-prepared resources (dictionaries, deep categorization models, and sentiment models) focused on a series of typical scenarios (analysis of the Voice of the Customer, the Voice of the Employee, etc.) ready for immediate use and that provide analyses with an increased precision, recall, and relevance in these applications.

Use them from our add-ins for Excel

To make it easier to leverage the Vertical Packs, we have made them accessible through new add-ins for Excel, with support for the most useful operations, models, and analysis in each vertical.

Add-in for Excel

If you work for Marketing, Customer Support, or Human Resources and have thousands of comments from your customers or employees to analyze, sign up to MeaningCloud, download the corresponding add-in for Excel, paste your verbatims in a spreadsheet, press the relevant MeaningCloud button, and you will see how your comments are automatically tagged with meaningful categories for the analysis of the Voice of the Customer or the Employee.

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MeaningCloud Release: new add-ins for Excel

In the last MeaningCloud release we presented our new Deep Categorization API, a new Premium API that gives us access to two of our new vertical packs: Voice of the Customer and Voice of the Employee.

We also know that many of the target users of these functionality may not be necessarily know how to code, so with that in mind, in this latest release we are publishing two new add-ins, one for each vertical pack:

Both add-ins provide an integration with the Deep Categorization API, but focus on giving a more user-friendly approach for the analysis each one of them provides.

MeaningCloud release

The add-ins are adapted so anyone can obtain the analysis they want with just a few clicks, without worrying about API parameters or leaving the environment where they have the data to analyze.

This release also contains minor security updates as well as bug fixes in our core engines.

If you have any questions or just want to talk to us, we are always available at support@meaningcloud.com!

Dockerized text analytics with MeaningCloud On-Premises

One of the main challenges users face when adopting an on-premises solution is the ability to integrate it into their infrastructure. The days when EJBs and application servers ruled the world have gone, and organizations bet for virtualization. They offer convenient features like isolation and replication, but along with a critical drawback: performance. Docker has raised as a serious alternative to virtual machines, and dockerized applications are the new EJBs. It is not uncommon to find in a company’s infrastructure dockerized services and processes. In this sense, a question rises: what about dockerized text analytics?

The problem with virtual machines

By definition, a virtual machine runs a complete stack of virtualized hardware and operating system. It takes a powerful host machine to run a large amount of virtual machines seamlessly. Organizations often find themselves forced to invest in powerful servers to run solutions that are in fact not specially hardware-demanding.

In the last years, an alternative approach called containers has been widely adopted. In short, a container is an isolated file system, with its own processes, users, and network interfaces, but without any virtualized hardware.

Dockerized text analytics with MeaningCloud

MeaningCloud runs seamlessly in Docker containers, which makes it a convenient solution for deploying it in some infrastructures. It also takes advantage of some appealing aspects inherited from the Docker internal design.

Text analytics: docker makes it easy

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MeaningCloud Release: new Deep Categorization API

This is what we’ve included in MeaningCloud’s latest release:

  • New Deep Categorization API: we are happy to present the first of our Premium APIs, Deep Categorization 1.0, which lets you carry out an in-depth categorization of your data. In this initial release, we’ve included predefined models for analyzing the Voice of the Customer in several domains and the Voice of the Employee.
  • Language Identification 1.1: we say goodbye to Language Identification 1.0, so if you are still using it, you will need to migrate to the newest version. If you are using it through the Excel add-in, we’ve done it for you, so you just have to update your Excel add-in to the latest version.
  • New language for Text Clustering: we’ve added Catalan to the languages supported in the Text Clustering API.
  • General usability improvements: mainly in the developer area of the website.
New NeaningCloud release

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MeaningCloud’s Artificial Intelligence at EyeforPharma

Robotick hand touches ipad

Text-based Artificial Intelligence for the Pharma Industry

At MeaningCloud, we are proud to sponsor the Eye for Pharma Conference. Data, Evidence and Access Summit 2017. November 13-14th, 2017 – Philadelphia, US. MeaningCloud’s value proposition for the conference can be summarized as Text-Based Information with Artificial Intelligence.

Eye for Pharma is about demonstrating and communicating value, no matter which department you’re in. Whether it’s exploring innovative uses of real-world evidence (RWE) or creating new outcomes-based pricing models, only by embracing the power of data can you fully unlock the value of your drugs. It is a great opportunity for learning and networking.

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MeaningCloud Sponsors Welcome to Spain for Fulbright Scholars

The Fulbright Program

The Fulbright Program is the flagship international educational exchange program sponsored by the U.S. government and is designed to increase mutual understanding between the people of the United States and the people of other countries. The Program was established in 1946 under legislation introduced by Senator J. William Fulbright and is sponsored by the United States Department of State’s Bureau of Educational and Cultural Affairs (ECA). More than 370,000 “Fulbrighters” have participated in the Program since its inception more than seventy years ago. The Fulbright Program awards approximately 8,000 grants annually. Currently, the Fulbright Program operates in over 160 countries worldwide.

The Bilateral Fulbright Program with Spain

Fulbright Spain Association

The Fulbright Program offers grants to Spain for U.S. citizens. U.S. students and young professionals may apply for a grant to pursue independent research in Spain, while U.S. scholars may teach or research in Spain through Fulbright. In addition, U.S. scholars are eligible to apply for the Fulbright Specialist Program and U.S. students are eligible to apply for the Fulbright English Teaching Assistant (ETA) Program. This year, 140 young and enthusiast U.S. citizens are coming to Spain under the Fulbright Program.

MeaningCloud Sponsors Welcome to Spain for Fulbright Scholars

At MeaningCloud, we recognize the immense value of the Fulbright initiative, so much contributing to the mutual understanding of people and promotion of international good will through the exchange of students in the fields of education, culture, and science. As in previous years, MeaningCloud is proud to co-sponsor the “Welcome to Spain” event to the 2017 Fulbright grantees. This event will be held at the School of Industrial Engineering, Technical University of Madrid, on September 13th, 2017.

Follow the Fulbright Spain group on Facebook to know about all the activities organized by the Spanish Fulbright Association.

MeaningCloud Sponsors PharmaForce 2017

PharmaForce 2017

MeaningCloud sponsors PharmaForce 2017

At MeaningCloud, we are proud to sponsor the PharmaForce 2017 Conference. PharmaForce is an interactive conference for marketing and sales leaders from pharmaceutical companies to be held on September 18-20, 2017, in Austin, TX.

PharmaForce is the event for Pharma commercial innovators.

Who should attend:

  • Marketing:
    Consumer/HCP/Payer Marketing, Managed Markets, Marketing, Social Media Strategist, Commercial Marketing, Multichannel Marketing, Digital Marketing/Digital Strategy
  • Sales:
    Field Force/Sales Force Effectiveness, Sales Training & Development, Commercial/Sales Operations, Field/Regional/Account Manager, Market Access
  • Brand & Commercial Strategy:
    Commercial Innovation, Brand Management/Strategy, Brand Marketing, Disease, Drug, and Therapy Area Heads

Now in its 11th year, PharmaForce is the only life sciences event that addresses both marketing and sales strategies to achieve commercial success.

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MeaningCloud Release: new Language Identification API and more

As we recently advanced, during these last few months we have been working on new functionality. We are planning to start releasing it over the next few months.

In the latest release of MeaningCloud we have included some of this functionality:

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MeaningCloud sponsors prize for Author Profiling Research

Author Profiling ResearchCLEF Initiative and Conference

MeaningCloud sponsors the prize to the best team at the 5th International Competition on Author Profiling Research, PAN@CLEF 2017. This competition is part of PAN (Plagiarism, Authorship and Social Software Misuse), a series of scientific events and shared tasks on digital text forensics. The 17th evaluation lab on digital text forensics will be held as part of the CLEF conference in Dublin, Ireland, on September 11-14, 2017.

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