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Text Analytics

Content Analysis and the Internet of Things: Never Leave the Fridge Door Open Again?

July 29, 2015 by Luca Scagliarini

Things are changing. Our interactions with the devices we employ through our daily lives are becoming more focused on communication. This prognostication seems obvious—people do not communicate via data, systems do. Nor do people process like systems, we process like people.[read more]

Top 5 Data Science Masters Programs

June 4, 2015 by Sudhanshu Ahuja

Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 "people with deep analytic skills" as well as 1.5 million "managers and analysts with the know-how to use the analysis of big data to make effective decisions."[read more]

Digital Reasoning Goes Cognitive: CEO Tim Estes on Text, Knowledge, and Technology

April 13, 2015 by Seth Grimes

Tim Estes.

Digital Reasoning CEO Tim Estes sees cognitive computing -- data, applications, analytics, and machine learning algorithms -- as the providing the brains to drive global enterprises. Cognitive is a next computing paradigm, responding to demand for always-on, hyper-aware data technologies that scale from device form to the enterprise.[read more]

Are You Listening to Your Conversations?

March 11, 2015 by Andrew Lamrock

Conversations with customers.

Customers not only use the phone more frequently to contact a business, but also prefer it. From those millions of conversation, millions of words, how many are really listened to and really understood? Technology can make this difficult, but now with real-time conversation scanning, you can listen to and understand every single conversation across your business. It's data like you've never known.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

Text Analytics vs. Other Research Methods [VIDEO]

August 19, 2014 by Tom Anderson

Text analytics.

We believe that Text Analytics is important not just because of its implications within market research or any kind of research for that matter, but because of its value across so many other disciplines as well. All of the marketing research techniques represented in the debate are useful of course, and text analytics can be an aid in every single case.[read more]

Why Sentiment Analysis Engines Need Customization

August 6, 2014 by Scott Van Boeyen

Sentiment analysis engines.

There was a time, not too long ago, when the general population would have bet their life savings that flying cars and human-like robots would exist by the year 2014. There are definitely no flying cars, and robots aren't exactly how we pictured them. However, we do have artificial intelligence that can understand what people are saying.[read more]

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The Amazing Ways Big Data Is Now Used in HR

July 22, 2014 by Bernard Marr

The Big Data Guru column.

Employees are a both a business’s greatest asset and its greatest expense. One company offering unique solutions to help others tackle this challenge is Evolv, and in this post I will have a look at what they do, and why it’s an important – but controversial - example of big data analysis driving business growth.[read more]

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Banking on Hadoop: 7 Use Cases for Hadoop in Finance

July 20, 2014 by Michele Nemschoff

Finance. 

The bottom line is that all enterprises, especially financial firms, need to use big data and Hadoop technologies to their fullest potential now, particularly with the overwhelming amount of data and transactions amassed on a daily basis In order to remain competitive and maintain current customers while attracting new ones, financial firms should start planning to utilize big data.[read more]

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The Impact of Big Data on Linguistics

July 9, 2014 by Gil Allouche

Big data and linguistics.

Linguistics is an area that is constantly changing from one day to the next. There’s no stopping the evolution of language, and with the web and social media the speed at which it’s evolving has increased dramatically. There are so many contributing factors to language that impact how and when it changes that it can be extremely difficult to track and completely understand what about the language is changing and why it’s changing.[read more]

Combining Text Analytics with Voice-to-Text

June 19, 2014 by Rami Nuseir

Text analytics with voice-to-text.

What if, every time anyone gave you an opinion, it was recorded and transcribed with voice-to-text technology? Then the transcription was subsequently analyzed with text analytics software, and the results were sent back to you? That would be amazing.[read more]

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How Big Data Will Change Marketing Forever

June 17, 2014 by Bernard Marr
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The Big Data Guru column.

Companies have been collecting data on us for decades, but since we all went online - and in particular since we got social online - the amount we give away about ourselves and the number of ways a business can exploit that information, have exploded.[read more]

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WOW! Big Data at Google

June 3, 2014 by Bernard Marr

The Big Data Guru column.

Google has not only significantly influenced the way we can now analyze big data (think MapReduce, BigQuery, etc.) – but they probably are more responsible than anyone else for making it part of our everyday lives. I believe that many of the innovative things Google is doing today, most companies will do in years to come.[read more]

Why Text Analytics Is Important in Search

May 28, 2014 by Mekkin Bjarnadottir

Text analytics and search.

Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results don’t always deliver what you’re expecting.[read more]