By Gary King

Launching Idibon Public!

Idibon was founded with the vision of delivering intelligent language technologies for all people. We believe natural language processing is a fundamental technology enabler for end-user applications, and we believe that this should be available in all languages to everyone. Today we are excited to announce the launch of Idibon Public, our new community-sourced and…

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Data Science / June 24th, 2015
By Rob Munro

What is a Startup?

I enjoyed tackling the question of ‘What is a Startup?’ at Idibon this week. We have about 10 interns from across the U.S. with us for the summer. Most of them are working in the Bay Area for the first time and are curious: what exactly does it mean to be a tech startup, compared…

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By Team

Extracting information about terrible news: machine learning and critical needs

Virrastas (that’s a pseudonym) extracts sensitive numerical and textual data from online news articles. This data has significant ramifications for the health and safety of much of the world’s population. About 15% of the documents they review involve circumstances where 100 people have died. In order to be able to enrich their database and act,…

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By Team

Looking through the Glassdoor: trends in employee reviews of Walmart

Walmart can understand both the positive and negative sentiments being expressed by its employees through the application of topic discovery methods on Glassdoor employee reviews. Walmart is a large American multi-national corporation that operates discount retail stores worldwide. Its stores cover a wide variety of services including supermarkets, drug stores, convenience goods and limited financial…

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Idibon News / June 10th, 2015
By Team

Sifting through social media: automatically detecting engageability

Imagine that you work at a social media command center for a high-tech company. You process over 5,000 social media messages every day. Some of these messages are relevant to promoting customer engagement, but a great percentage of them are irrelevant. Then, your company implements Idibon for text analytics. You now only receive 450 messages…

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By Team

Change your pitch to change the meaning: identifying feedback that drives language learning

Here’s a quick lesson in Navajo. Navajo is a highly tonal language, and the intonation with which you pronounce a word can significantly change its meaning. Take the word ‘yau’, which has eight different meanings, depending on the speaker’s intonation. For example, when it is pronounced with a high pitch, it means ‘worry’, but a…

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By Team

Finding the needle in a haystack: automating news monitoring

Delivering insights at scale One of our clients is a rapidly expanding firm that analyzes and delivers critical data to its customers. Its customers rely on this data to manage their relationships with partners and stay competitive. Originally, our client’s process included manually analyzing large numbers of online news articles, amounting to tens of thousands…

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Culture / May 15th, 2015
By Rob Munro

The tech community’s response to Ebola

I gave an interview this week about the response to the recent Ebola outbreak, talking about best practices for privacy, the media, and silicon valley’s response. Here’s a short transcription of the major questions: What is your connection to the Ebola-hit regions of West Africa? “There are several, as I’ve lived there, worked in Epidemic…

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By Tyler Schnoebelen

Sentiment is just a stepping stone

Last week was the Social Media & Web Analytics Innovation Summit here in San Francisco. I thought I’d take this opportunity to put together a glossary of terms that were used around the conference and share the slides I presented (I recommend downloading them so that you can read the notes, it’s a fairly visual presentation)….

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