Category Archives: Language Technology

Posts about language technology.

Incorporate Text Analytics into the Voice of the Employee

Voice of the Employee - bubles reading wow, cool, oops

Many users who want to incorporate text analytics into their Voice of the Employee (VoE) analysis aren’t sure how to translate their business requirements into something compatible with their current processes.

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Surveys and HR: why do you need open-ended questions?

open and closed questions

Since everyone wants to understand employees better, text-based data sources are a key factor for any organization to understand the “whys” and act on them to make improvements. Open-ended questions are one of the most effective ways to gather employee opinions; they offer them an open forum to make suggestions and present innovative ideas.

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The amazing deeds of text analytics superheroes

In the last few years, the explosion of user-generated content in social media (networks, forums, communities, etc.) has significantly increased the need to extract information from unstructured content. Oddly enough, text analytics superheroes, wondrous as their achievements are, are just average guys who figured out what they could do with the right technology.

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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 public and private organizations’ top priorities. Thus, listening to the Voice of the Employee by systematically collecting, managing and acting on the employee feedback on a variety of valuable topics is essential.

The relationship between Voice of the Employee (VoE) and Engagement is very similar to the one between Voice of the Customer (VoC) and Customer Experience. VoC provides information to improve customer experience. Voice of the Employee promotes employees’ engagement in the company and their work. See: Voice of the Employee, Voice of Customer and NPS

Voice of the Employee collects the needs, wishes, hopes, and preferences of the employees of a given company. VoE considers specific needs, such as salaries, career, health, and retirement, as well as implicit requirements to satisfy the employee and gain the respect of colleagues and managers.
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Text Analytics & MeaningCloud 101

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

Users know they want to incorporate text analytics into their processes but are not sure how to translate their business requirements into something they can integrate into their pipeline.

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

homer-simpson-confused

In this post, we are going to explain what our different products are used for, the NLP (Natural Language Processing) tasks they are tied to, the added value they provide, and the requirements they fulfill.

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Language Technology Industry meets in Brussels, May 16-17, 2016

Language Technology Industry Summit

Logo_LTi_2016

LT-Innovate, the Language Technology Industry Association, organizes a new edition of its annual Summit. It is the yearly point of convergence between the Language Technology Industry, its clients, research partners and policy makers. According to its Memorandum of Association (London, 2012), LT-Innovate is a non-governmental organization consisting of all parties involved in the field of Language Technologies (LT) and services. Main goals are the promotion of common interests in the successful development, production, delivery and use of language technologies and services and the implementation of services that may help to promote the industry.

LTI Cloud

Besides traditional sections, as Solution Showcases, Technology Spotlights, and Project Results, Language Technology Industry Summit 2016 will serve as the official launch of one of the most important endeavours undertaken by the Association since its inception: the LTI Cloud.

LTI Cloud is the one-stop-shop platform for making available, discovering, assembling, testing and prototyping language technology components. If you are a potential provider of LT APIs (researcher, developer, startup…), and you want to get exposure, testing, or simply customers, consider using LTI Cloud, as it is a ready-to-use platform.

Still in a pilot phase until May 17th, you can be among the first adopters of LTI Cloud. And remember that it serves not only LT providers but also final users. Jochen Hummel, the leader of this initiative, will make the presentation at the Conference. By now, you can take a look at this preview.

Coming back to the Summit, I would like to stress a traditional track: “Customers challenge the Industry”. This year’s challenge comes from Elsevier: “Dynamic Knowledge Stores and Machine Translation”. It will be presented by Michelle Gregory and Pascal Coupet.

MeaningCloud User Profiling API

Being MeaningCloud one of the founding companies of LT-Innovate, we are proud to take an active role again in this year’s event. On Tuesday 17th of May, I will be presenting our recent work on “Automatic Extraction of Rich Customer Profiles from their Activity in Social Networks”. It is about our brand new MeaningCloud API for automatic profiling of Twitter users. User Profiling API allows extracting some important demographics according to different aspects for a given Twitter user: which topics the user talks about, personal and professional information, hobbies and interests, etc. This information extraction is based on a mixed rule-based and machine learning approaches.

Conference Discount Code

Come and join us at the LT-Innovate Summit. And, before registration, do not forget to ask for a special discount code through our helpdesk (support@meaningcloud.com).


Voice of the Customer in the insurance industry

For insurance companies, it is vital to listen and understand the feedback that their current and potential customers express through all kinds of channels and touch points. All this valuable information is known as the Voice of the Customer.  By the way, we had already dedicated a blog post to Text mining in the Insurance industry.

(This post is a based upon the presentation given by Meaning Cloud at the First Congress of Big Data in the Spanish Insurance Industry organized by ICEA. We have embedded our PPT below).  

More and more insurance companies have come to realize that, as achieving product differentiation at the industry is not easy at all, succeeding takes getting satisfied customers.

Listening, understanding and acting on what customers are telling us about their experience with our company is directly related to improving the user experience and, as a result, the profitability. In the post on Voice of the Customer and NPS, we saw in more detail this correlation between customer experience and benefits.

 

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Net Promoter Score (NPS) via Voice of the Customer (VoC)

More and more companies have come to understand that to grow profitably in competitive scenarios, satisfied customers are the key to success. And they know that employees have a fundamental role in achieving a better customer experience.

In this challenge to improve customer loyalty, companies must be able to listen to their customers and understand what they are saying. It is what we call the Voice of the Customer (VoC).

However, a mission — such as customer satisfaction — that lacks a precise measure of success (or failure) is just hot air. Quoting Lord Kelvin, “If you can not measure it, you can not improve it.”

The Net Promoter Score (NPS) has become, for a number of companies, the key metric for measuring customer satisfaction. By the same standard, the mission to get motivated and happy people in an organization also has its key metric: the eNPS (Employee NPS).

As discussed below, in order to improve customer and employee experience, both the NPS and the eNPS need to find the reason that justifies the score given.

When asked What is the primary reason for your score? the NPS and the eNPS collect and analyze the open answers of thousands of customers and employees. Here is where the linguistic technology of Meaning Cloud intervenes.
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