Author Archives: Antonio Matarranz

About Antonio Matarranz

Chief Marketing Officer at MeaningCloud

New insights in your contents with the new release of MeaningCloud

We have just published a new release of MeaningCloud with some new features that will change your way of doing text analytics. As a complement to the most common analytical techniques -which extract information or classify a text according to predefined dictionaries and categories- we have included unsupervised learning techniques that enable to explore a series of documents to discover and extract unexpected insights (subjects, relationships) from them.

In this new release of MeaningCloud we have published a Text Clustering API that allows to discover the implicit structure and the meaningful subjects embedded in the contents of your documents, social conversations, etc. This API takes a set of texts and distributes them in groups (clusters) according to the similarity between the contents of each document. The aim is to include in each cluster documents that are very similar to each other and, at the same time, highly different from the ones included in other clusters.

Clustering is a technology traditionally used in the analysis of structured data. What is so special about our API is that its pipelines are optimized for analyzing unstructured text.

Text Clustering API

Continue reading →

See you at the Sentiment Analysis Symposium 2015 in New York

Next July 15-16, New York will host a new edition of the Sentiment Analysis Symposium. This event is your opportunity to keep up with technologies and solutions that help you discover business value in opinions, emotions, and attitudes in social media, news, and enterprise feedback, to further your business goals.

This year, the program has two tracks: a Presentation Track featuring a mix of business and technical presentations and panels and a Workshop Track with longer-form content. See the agenda here.

Sentiment Analysis Symposium 2015
At MeaningCloud,  over the past year we’ve seen an explosion of interest in sentiment analysis from very diverse industries and the Sentiment Analysis Symposium is the premier event to learn about the latest developments in this and related areas, such as social listening and voice of customer analytics. This is the reason why we are sponsoring the Symposium again in 2015.

We’re thrilled to present and collaborate with other leaders in the industry at this year’s event in New York. Our main presentation will be titled: “From Strangers to Acquaintances: Multidimensional Customer Profiling” and will describe how businesses aim to integrate multichannel interactions (social conversations, web behavior, contact center activity) and other data for profiling and segmenting their users in real time. In this context, a winning approach is to combine dimensions like demographics, lifestyle, brand affinity, or intent to better understand your audience and to generate business opportunities.

For more information and registering, please visit the Symposium’s website. And if you want to save 20% in your registration, contact us at news@meaningcloud.com.

Meet us in New York City, at the Sentiment Analysis Symposium, and follow @SentimentSymp.

Improve your Customer Experience Management with Text Analytics (recorded webinar)

Last June 10th we presented our webinar “Discover the WHY behind your Customer Scores – Improve your Customer Experience Management with Text Analytics”, featuring industry expert Seth Grimes.

The goal of the webinar was to ensure you are getting the most from your Customer Experience / Voice of the Customer initiatives, using text analytics to understand massive amounts of unsolicited, unstructured customer feedback in real time.

User Profiling and Segmentation

The agenda, with contributions from Seth and members of the MeaningCloud team, was:

  • Text analytics in Customer Experience (CX) management. Why is it important?
  • How text analytics complements/amplifies “traditional” CX? What specific benefits does it bring: understanding the reason behind the scores, extending to new, untapped feedback sources, analyzing CX in big data contexts … What new applications does it enable?
  • What text analytics techniques are applicable: text classification, information extraction, sentiment analysis, user profiling…
  • Analysis of some real scenarios/projects: survey analysis, contact center interaction, market research, social media analysis.
  • How to implement this easily with MeaningCloud: APIs, personalization tools, add-in for Excel.

For those of you interested, below you can find the webinar’s slides and recording.

And, if you want to give MeaningCloud a try and see how it can take your customer feedback analysis to the next level, register and use it for free here.

Use it for free

Continue reading →

Discover the WHY behind your Customer Scores – A webinar with Seth Grimes

Seth GrimesOn Wednesday June 10th, MeaningCloud will welcome special guest and text analytics thought leader Seth Grimes for a 1-hour webinar on ensuring you are getting the most from your customer feedback.

Seth will explain the importance of text analytics in new Customer Experience / Voice of the Customer scenarios, enabling you to understand massive amounts of unsolicited, unstructured feedback coming form surveys, customer center interactions and social media… in real time.

And the MeaningCloud Team will show how you can efficiently put these ideas into practice using our easy-to-use, customizable and affordable Meaning-as-a-Service tools.

Whether you are in the market research or customer experience management business or you are an end customer willing to take your customer insights to the next level, this webinar is for you.

We hope you will join us for this special event.

Improve Customer Experience Management with Text Analytics

Discover the WHY behind your Customer Scores – A webinar with Seth Grimes

Wednesday, June 10th, 2015; 8am PST/11am EST

UPDATE: this webinar has already passed. See the documentation and recording here.

Distill customer insights from interactions with clients

For companies, it is vital to understand the feedback that their customers -current and potential- express through all types of channels and contact points. That is why brands are extending their
Voice of the Customer (VoC) initiatives to a new territory of unsolicited and unstructured content: comments on surveys, call center verbatims, Twitter… Only automatic processing enables to perform this analysis with the the necessary characteristics of quality, volume, response time and homogeneity.

Try our free demo of VoC

 

#TuitometroMadrid: a demonstration of MeaningCloud’s capabilities

Using MeaningCloud’s APIs we have developed in a few days a social monitoring tool for a highly topical theme: the local and regional elections in Spain.

Due to the great expectations raised by the upcoming elections of May 24th, several initiatives have appeared that try to analyze the conversation in social media about the different policy options.
We would like to show you one of them, which won’t be given the medal for arriving first, but will definitely win one for being the fastest (we will explain later this apparent contradiction).
At MeaningCloud we have developed #TuitometroMadrid (in Spanish), an application that enables to analyze thoroughly and in real time the conversation on Twitter about the political parties and candidates shortlisted for the Community of Madrid and Madrid’s City Council.

TuitometroMadrid Home

#TuitometroMadrid allows to monitor the buzz, the opinions, and the relevant terms and hashtags around each political option and to compare them aggregately.

TuitometroMadrid Sentiment

Why do we say that it is the fastest tool? Because, besides the fact that it provides the information virtually in real time (and not as post hoc reports), it’s development has been the quickest: by using MeaningCloud’s APIs, an engineer implemented all the semantic analysis of social content in less than one day.
Apart from its usefulness as an informative tool, #TuitometroMadrid is a demonstration that semantic analysis technologies serve to solve real problems in a simple and affordable way.

Would you like to embed semantic analysis into your applications in the easiest, most customizable and affordable way? Use MeaningCloud for free.

Register free

Customize your text analytics tools (recorded webinar)

Last May 14th we presented our “Boost your text analytics accuracy” webinar.

We discussed why we need to customize text analytics processes -by including domain-based information- to improve the accuracy (precision, recall) of these tools. And we did a walk-through of MeaningCloud’s features to customize several of its functions:

  • Text classification
  • Information extraction
  • Sentiment analysis.

These customization tools feature graphical user interfaces and are very easy to use, thus empowering the users to adapt the system to their applicactions and putting high-quality text analytics at everybody’s fingertips. We are confident that these features, together, are unique in the industry and put MeaningCloud ahead of the competitors’ offerings.

For those of you interested, below you can find the webinar’s slides and recording.

(También presentamos este webinar en español. Tenéis la grabación aquí.)

MeaningCloud Webinar – Better Text Analytics Using Customization Tools from MeaningCloud on Vimeo.

Boost your text analytics accuracy with our customization tools (webinar)

Text analytics tools are extraordinarily valuable for extracting meaning from unstructured content, but the use of generic linguistic resources limits their accuracy. For instance, an automatic system will never identify a company’s products if these haven’t previously input into the tool’s dictionaries.

Text Analytics CustomizationThe inclusion of application-specific linguistic resources (dictionaries, models) allows these tools to reach high levels of precision and recall, but, in general, this is an expensive process that requires a deep proficiency in these technologies.

At MeaningCloud we aim at democratizing semantic analysis, putting it at every user’s and developer’s fingertips. This is why MeaningCloud features Customizer, a personalization engine based on graphical tools that enable users to create their own classification models and dictionaries in a simple, interactive way. Therefore, anybody needing, for example, to analyze comments about hotels in London can include the establishments, attributes and vocabulary used in this context.

Register for this free MeaningCloud webinar and discover in a practical way how Customizer tool empowers you to perform domain-oriented text analytics with total autonomy, flexibility and maximum accuracy.

UPDATE: this webinar has already passed. See the documentation and recording here:

Monitor corporate reputation with our new API

Do you need to understand the impact that social media and news have on your corporate reputation (or your customers’)? Now, a new MeaningCloud API enables you to analyze all that information in real time and structure it according to the dimensions of the most common reputational schemes.

Some customers have been demanding us a precise way of understanding the impact that opinions from social media and other channels have on a company.

Corporate Reputation APISocial monitoring tools provide a basic sentiment analysis that in the best of cases identifies that a certain comment (e.g. a tweet) expresses a positive or negative opinion about an entity, and use the aggregated data in diagrams and temporal evolutions. Nevertheless, analyzing a so multifaceted reality as the reputation of a company requires a more granular opinion analysis.

Although it is usually identified with online reputation, corporate reputation is a different concept: it consists of an aggregate of the opinions and perceptions that the public has about a certain company. And it’s a multidimensional characteristic, since those opinions are assessed around a series of more or less standard axes:  Financial situation, Product quality, Innovation, Strategy…

A more social, real-time reputation analysis

So far, corporate reputation has been measured by interviewing and conducting surveys to customers and analysts, and it has been provided in the form of static periodic reports. But the number of customers who are not satisfied with a “snapshot” a posteriori -based on a few opinions- is constantly increasing. Now they wish to add to the picture the impact that social and traditional media have on their reputation, and access that information in a more up-to-date and actionable way to detect potential reputational crises well in advance.

With this MeaningCloud update we have added a new Corporate Reputation API, which enables to include in the reputational analysis the huge amount of spontaneous opinions expressed in all kinds of media (social networks, forums, blogs, news websites) in real time.

New corporate reputation API

This API performs a reputational tagging of text: it receives a document (tweet, piece of news, comment in a survey), detects the mentioned companies, identifies the reputational dimensions involved and extracts the polarity that affects each one of them. All this with a high level of accuracy and granularity, distinguishing opinions about different companies than can coexist in a single sentence. The result is presented in the form of standard tags that can be used to aggregate, relate, detect trends, generate alerts, etc.

Under the hood, the corporate reputation API uses a highly optimized pipeline that incorporates information extraction, automatic classification and polarity analysis techniques. In addition, it is based on standard interfaces and features SDKs that enable to integrate it into any available monitoring application or tool. More information here.

Using this API you can complement the traditional reputational studies with a more agile and immediate analysis of the impact of social media, news, etc., and thus manage more dynamically such an important asset of your company.

And don’t forget that with this MeaningCloud update we include two APIs from our previous product, Textalytics: Linguistic Analysis and Text Proofreading.

Use it for free

Text Analytics market 2015: Seth Grimes interviews MeaningCloud’s CEO

Seth GrimesSeth Grimes is one of the leading industry analysts covering the text analytics sector. As part of his annual year-past/look-ahead report on this technology and market developments, Seth polled a group of industry executives, asking their thoughts on the state of the market and prospects for the year ahead.

José Carlos González, CEO of Daedalus / MeaningCloud, was one of the selected executives. In the interview, Seth and José Carlos discuss industry perspectives, technology advances and the “breadth vs depth” dilemma faced by many text analytics vendors.

This is an excerpt from the interview:

Roads to Text Analytics Commercialization: Q&A with José Carlos González, Daedalus

What should we expect from your company and from the industry in 2015?

Voice of the Customer (VoC) analytics — and in general, all the movement around customer experience — will continue being the most important driver for the text analytics market.

The challenge for the years to come will consist in providing high-value, actionable insights to our clients. These insights should be integrated with CRM systems to be treated along with structured information, in order to fully exploit the value of data about clients in the hands of companies. Privacy concerns and the difficulties to link social identities with real persons or companies, will be still a barrier for more exploitable results.

———

Interested? Read the rest of the interview –featuring market developments and company and product strategies- on Seth Grimes’ blog.

Adverse effects of medications and social media monitoring

Adverse Drug Reactions (ADR) are the biggest safety concern in the health field. Adverse Drug Reactions refer to harmful and unintended effects of drugs administered for the prevention and treatment of illness, both at normal dosages and in cases of incorrect usage or errors in medication. ADRs are the fourth cause of death for patients in hospitals in the U.S. Therefore, the pharmacovigilance area is receiving a great deal of attention at the moment, due to the high incidence of ADRs and the high associated costs (between 15 and 20 percent of hospital expenses are due to drug-related complications.)

There are certain adverse drug reactions which are not discovered during clinical trials because they do not become known until the drug has been on the market for several years. Therefore, medicine regulatory agencies have to monitor ADRs once the drug is on the market, and the main tool at their disposal is a system of voluntary notification whereby medical professionals and patients can report suspected ADRs (in Spain patients have been able to do so since July 2012). However, these systems are hardly used, and estimates indicate that only 5-20% of ADRs are reported, either due to lack of time, the complexity of the process, lack of knowledge of ADRs or poor coordination among healthcare staff.

As part of the European TrendMiner project, a prototype to analyze comments on social networks has been built that features MeaningCloud semantic analysis to recognize mentions of pharmaceutical drugs, adverse effects and illnesses. The system displays the development of these references and their “co-occurrences” i.e., it registers which drugs are mentioned and what the adverse effects are. For example, the system monitors anti-anxiety drugs and to do so it takes into account not only the references to the active ingredient or generic name of the drugs in this category (among others lorazepam and diazepam) but also commercial brand names (such as Orfidal). In addition, all of these drug references may also be analyzed in relation to their therapeutic effects (such as Orfidal being indicated for anxiety) and their adverse effects (such as Orfidal possibly causing shaking and tremors).

To read more about this project, developed with the Universidad Carlos III de Madrid go to the university’s website.

We have now a dedicated business exclusively focused on the health and pharmaceutical sectors

Konplik.Health begins operations with the health-related assets from MeaningCloud, including its leading natural language processing, deep semantic analysis, AI platform, and adaptations specific to the life sciences.

Visit Konplik Health

Health and pharma companies can exploit their unstructured information

There are new kinds of data that are specific to the
healthcare and pharmaceutical industries (such as electronic health records) as well as data science tools that allow us to extract valuable knowledge from that data.

 

With MeaningCloud, it is possible to identify the costs of medical treatments, their efficiency (cost, benefits, and risks), references to drugs, side effects, or long-term results. That is why our text analytics solution for the healthcare and pharma domains has so much potential.


Try our free demo!