You can now use MeaningCloud with RapidMiner

Expand text analytics with the tools to create the most sophisticated predictive models

At MeaningCloud, we have just launched a feature that enables users to incorporate our text analytics into complex predictive models based on structured data. With our new Extension for RapidMiner you can directly embed our semantic analysis engines into the process pipelines defined in this popular analytical tool.

RapidMiner is an open-source platform for data science, recognized as a leader in the field of advanced analytics tools. RapidMiner is used for preparing data, creating predictive models, validating them, and embedding them into business processes quickly and easily .

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Activating Social Listening to Protect Online Reputation (part 2)

EDITOR’S NOTE: this is a guest post by Leopoldo Martínez D., a researcher, consultant on social media corporate intelligence and lecturer at UCV and IESA (Venezuela), and it was originally published on his blog (in Spanish).


  1. Introduction

As I set out in the first part of this post, I will show the evaluation of the online reputation in a real situation related to the tourism industry.

  1. The unexpected event: Shooting at music festival in Playa del Carmen, Riviera Maya

Between January 6 and 15, 2017, a music festival was scheduled to be held in Playa del Carmen, as well as a series of events related both to music and to the tourism industry. On January 15, a shooting occurred in a well-known bar where people were celebrating the closure of the festival.

When the shooting happened, alarm messages began to be spread through social networks to give information on the incident, as well as comments on the context in which the incident had occurred. Some conversations revealed an interesting fact: the shooting was not an isolated event, but it had its origin in the “situation of crime that the Riviera Maya was witnessing in 2011″.

Could this affect the Riviera Maya’s reputation as a tourist resort? Could it be that “several years in a situation of crime” had already influenced the tourism industry’s image? These are some of the questions that the public and private actors that provide services and products in this tourist area might be asking themselves.

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What is the Voice of the Employee (VoE)?

Voice of the Employee. Silhouettes with bubbles representing dialog

Finding committed employees is one of the top priorities for public and private organizations. Voice of the Employee is essential in that sense. They collect, manage and systematically act on the employees’ feedback on a variety of valuable topics for the company.

The relationship between Engagement and Voice of the Employee is so similar than the existing one between Voice of the Customer and Customer Experience. VoC provides information to improve customer experience. Voice of the Employee promotes employees’ engagement. See: Voice of the Employee, Voice of Customer and NPS

The Voice of the Employee collects the needs, wishes, hopes, and preferences of the employees of a given company. The VoE takes into consideration specific needs, such as salaries, career, health, and retirement, as well as implied requirements to satisfy the employee and gain the respect of colleagues and managers.
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Activating social listening to protect online reputation (part 1)

EDITOR’S NOTE: this is a guest post by Leopoldo Martínez D., a researcher, consultant on social media corporate intelligence and lecturer at UCV and IESA (Venezuela), and it was originally published on his blog (in Spanish).


1. Introduction

In this previous post, I suggested that conversations taking place in virtual communities fostered by a digital marketing plan generated a feedback that was useful to assess and monitor the performance of a digital marketing strategy.

This feedback could generate a huge amount of valuable data (Big Data) that enable to create a knowledge base on what is being talked about, who is telling it, who is having a greater impact on brand image, products, people or organizations.

This knowledge base can also be fed by discussions arising from unexpected events, which are not part of the communication plan, but deal with the virtual community’s topics of interest.

To specifically assess the conversation’s impact, it is necessary to pay attention (more than just listening) to what is being said through metrics (qualitative and quantitative) that reflect the perception that the members of the virtual community have on brands, products, people or organizations, being this perception an online reputation measure.

In this sense, the purpose of this post is to show in a simple way how to carry out an active listening of conversations in social networks to evaluate the online reputation.
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Recorded webinar: When to use the different Text Analytics tools?

Last February 9th we presented our webinar “Classification, topic extraction, clustering… When to use the different Text Analytics tools?”. Thank you all for your interest.

During the session we covered the following agenda:

  • An introduction to Text Analytics.
  • Which application scenarios can benefit most from Text Analytics? Conversation analysis, 360° vision, intelligent content, knowledge management, e-discovery, regulatory compliance… Benefits and challenges.
  • What are the different Text Analytics functions useful for? Information extraction, categorization, clustering, sentiment analysis, morphosyntactic analysis… Description, demonstration and applications.
  • What features should a Text Analytics tool have? Is it all a question of precision? How to enhance quality?
  • A look at MeaningCloud’s roadmap.

IMPORTANT: The data analyzed during the webinar can be found in this tutorial.

Interested? Here you have the presentation and the recording of the webinar.

(También presentamos este webinar en español. Tenéis la grabación aquí.)
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Text Analytics & MeaningCloud 101

One of the questions we get more often at our helpdesk is how to apply the text analytics functionalities that MeaningCloud provides to specific scenarios.

Users find MeaningCloud knowing they want to incorporate text analytics into their process but not sure how to translate their business requirements into something they can integrate into their pipeline.

If you also add the fact that each provider has a different name for the products they offer to carry out specific text analytic tasks, it becomes difficult not just to get started, but even to know exactly what you need for your scenario.


In this post, we are going to explain what our different products are used for, the NLP tasks they trace to, the added value they provide, and which are the requirements they fulfill.

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Customer experience, a win-win in restaurants

 BLT sandwich, buttered or not?


Do you know if your customers prefer buttered toast in your BLT sandwich? Don’t worry; MeaningCloud is the kitchen helper you need to suit your dinner guest. Customer experience is the ingredient you need. Surfing the Internet you find hundreds of websites and apps to give feedback on restaurants. You could find by chance people talk about yours. Can you imagine people disparaging your BLT sandwich? For your information, I’d rather have it buttered.

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