MeaningCloud Europe is now part of Reddit
MeaningCloud | Text Analytics
by Jose C. Gonzalez
1y ago
I’m thrilled to announce that MeaningCloud Europe (formerly Daedalus), the company I started in 1998, is now a part of Reddit. You can read the full announcement of this acquisition on Reddit’s blog. You all know Reddit, of course, the online platform hosting more than 100,000 communities where people can discuss and chat about their interests, hobbies, and passions. And you know MeaningCloud, the Language Technology company that competes (modestly but proudly) with IBM Watson, Google Cloud, Amazon Comprehend, and Microsoft Cognitive Services. Some of you may remember that we started off ..read more
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Corporate Reputation Analysis at Scale
MeaningCloud | Text Analytics
by Jose C. Gonzalez
2y ago
The rationale for Corporate Reputation Analysis Automation We live in an age where news stories are no longer a primary, but an added concern for businesses trying to build and maintain a strong reputation. Individual experiences are reaching a global audience in a matter of minutes, thanks to the internet, which has made way for an immense volume of spontaneous and real-time information. There is no doubt that companies have to navigate the voices of traditional and contemporary media sources, both of whom contribute significantly to their social standing. Reputation crises can spark at any ..read more
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Full IAB taxonomy for content classification now available
MeaningCloud | Text Analytics
by María José García
3y ago
The surge of content marketing, based on the creation and distribution of valuable content, is a reality. The objective is no longer solely to advertise but to engage and offer valuable experiences to the market as well. In this context, precision in content classification is becoming essential. And that’s why we implemented a new automatic content classifier according to the full IAB taxonomy. Therefore, since including tier 3 of the content taxonomy to the categorization categories of our IAB model last year, we have chosen to complement it by providing the complete ontology. In line with th ..read more
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A Quick Introduction to Brand Monitoring and Brand Protection
MeaningCloud | Text Analytics
by David Bitton
3y ago
[EDITOR’S NOTE: This is a guest post by David Bitton, Product Manager at Webhose.io] Organizations should never underestimate the power of their brand. What starts out as a name, logo, vision, mission statement, website, and perhaps a few employees start to form an organization’s identity. As an organization grows, all of these key parts evolve over time to help customers identify the brand. But a brand is more than its identity. A brand should evoke emotion from its customers – ideally a positive one – creating brand loyalty and repeat purchases of its goods or products. Loyal customers also ..read more
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MeaningCloud brings multilingual text analytics to 57 languages!
MeaningCloud | Text Analytics
by David Muñoz
3y ago
It’s time to celebrate! We are rolling an update to our APIs that allows analyzing texts in fifty-seven languages. Our dream of multilingual text analytics based on our deep semantic approach has come true. Until now, to analyze texts in different languages, we needed to maintain a model per language. This gives good results, although it was hard and expensive. We can do better. Zero to near sixty in no time We have integrated our APIs with deep neural network technology to translate all these languages into English. Thanks to this, our users can analyze texts in many languages maintaining onl ..read more
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Machine Learning for NLP/Text Analytics, beyond Machine Learning
MeaningCloud | Text Analytics
by Julio Villena
3y ago
In the field of text analytics, aside from the development of categorization models, the application of machine learning (and more specifically, deep learning) has proved to be very helpful for supporting our teams in the process of building/improving rule-based models. This post analyzes some of the applications of machine/deep learning for NLP tasks, beyond machine/deep learning itself, that are used to approach different scenarios in projects for our customers. Baseline model for text categorization In some of our previous posts, we have discussed the pros and cons of traditional natural la ..read more
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Accuracy measures in Sentiment Analysis: the Precision of MeaningCloud’s Technology
MeaningCloud | Text Analytics
by Jose C. Gonzalez
3y ago
Accuracy Measures of Commercial Sentiment Analysis APIs Our clients frequently ask, “what’s the precision of MeaningCloud technology?” How does it compare with other commercial competitors and with state-of-the-art technology? And they demand precise numbers. That’s not an easy question to answer. Even when there are milliards of research studies on this issue. For the sake of simplicity, let’s concentrate on the well-studied scenario of accuracy measures in Sentiment Analysis. The academic approach Most of the researchers do their work on publicly available annotated data sets from Twitter, m ..read more
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New Excel 365 add-in for Text Analytics!
MeaningCloud | Text Analytics
by David Muñoz
3y ago
Our new Excel 365 add-in has finally arrived! Excel is the preferred tool for many MeaningCloud users. They access MeaningCloud APIs directly from Excel with our add-in. In the last months, we have received a lot of inquiries about a Mac version. So, we partnered with Microsoft to build a new multiplatform version.   Installation Installing it is a breeze on all platforms. The new add-in is available in Microsoft AppSource: https://appsource.microsoft.com/en-us/product/office/WA200002421 Click on Get it Now and follow the instructions.   Configuration You only need your API key to us ..read more
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Language Technology vs. Disinformation
MeaningCloud | Text Analytics
by Jose C. Gonzalez
3y ago
Following the 2016 US presidential election, many have expressed concern about the effects of false stories (“fake news”), circulated largely through social media. Research from Oxford University’s Reuters Institute for the Study of Journalism has found a long and steady decline in trust in traditional media. (See Reuters Institute Digital News Report 2020). This declining trust coincides with the uprise of social media as a main source of information. In 2020, social media was a source of news for 48 percent of the public, up from 27 percent in 2013, according to the Reuters Institute. At th ..read more
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IAB Taxonomy Level 3 now available in our Deep Categorization API
MeaningCloud | Text Analytics
by María José García
3y ago
Digital marketing is becoming a fundamental pillar, by leaps and bounds, in the business plans of practically every business model. Methods are being refined and the search for the connection between brand and user is expected to become increasingly more precise: a related advertisement is no longer sufficient, now the advertisement must appear at the right time and in the right place. This is where categorization proves to be an exceedingly useful tool. That is why, at MeaningCloud, we have improved our IAB categorization model in English, that is integrated in our Deep Categorization API: A ..read more
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