The Alchemist Blog

Helping You Build Intelligent Data Applications

How the Web Gets In the Way of Training NLP Algorithms

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By: Mackenzie Sedlak on January 28, 2015 at 10:17 AM

The Truth About Natural Language Processing: Myth 4

Up to this point, our “Dispelling Common NLP Myths” series has covered several topics from human annotation to freemium services to customization. In this post, we will debunk the final myth, which involves teaching NLP algorithms using the Web.

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Topics: Natural Language Processing

3 New Languages Added to Sentiment Analysis Tools

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By: Aaron Chavez on January 14, 2015 at 11:12 AM

Learning How Customers Feel Just Got Easier

Based on Google Trends data, searches for the term “sentiment analysis” have risen nearly 40% over the past 12 months. If that’s not an indication of the growing need to understand and predict consumer behavior, we don’t know what is.

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Topics: Sentiment Analysis

Cash In Without Cashing Out: 4 Tips to Avoid Natural Language Processing Customization

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By: Mackenzie Sedlak on January 8, 2015 at 12:00 PM

The Truth About Natural Language Processing: Myth 3

Thus far in our “Dispelling Common NLP Myths” series, we’ve revealed the facts about two common natural language processing myths. In the first post, we share details surrounding the belief that human labeling of data is the only way to teach and train complex algorithms. The second post discusses the benefits and limitations of freemium systems. In this post, learn how to determine whether you need extensive NLP customization to get results for your business.

According to a report conducted by PR Newswire*, this market is expected to triple from $3.8 million in 2013 to $9.9 million in 2018. Much of this growth can be attributed to businesses looking for ways to provide highly personalized customer experiences by gaining a clear understanding of preferences and intentions through data collected from online and offline interactions.

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Topics: Natural Language Processing, Deep Learning & Machine Learning

5 Predictions and Resolutions for Smarter Data Analysis in 2015

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By: Sonya Hansen on January 6, 2015 at 1:52 PM

It's 2015. If you haven’t already, it’s time to create a plan for getting the most from your data so that you can understand your customers and how your company’s efforts impact the bottom line.

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Topics: Deep Learning & Machine Learning, Big Data Analysis

Empowering Next Gen Programmers

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By: AlchemyAPI on December 30, 2014 at 9:15 AM

'Tis The Season to Give Back. Thanks for supporting Codestarter.

All programmers get their start from someone willing to teach them a thing or two about coding. Now, you have the chance to ensure that an aspiring coder has their own “Hello, World” experience. And it all begins with getting a computer in their hands.

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Topics: AlchemyAPI, Events

The "Grinchiest" U.S. States According to Twitter Hashtag Sentiment

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By: Devin Harper on December 23, 2014 at 8:45 AM

He’s a mean one, Mr. Grinch. And according to recent Tweets, he’s probably hiding in Hawaii or South Dakota. Most likely, he won’t come in the form of a green, Christmas loathing monster, but there’s no doubt that you’ll recognize him (or her) when you see his digital musings.

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Topics: Sentiment Analysis

Hackers Choose Their Own API Adventure with ChallengePost

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By: Mackenzie Sedlak on December 17, 2014 at 11:00 AM

You want to hone your technical skills by participating in hackathons, but you don’t necessarily want to pull an all-nighter or travel to compete. Have you heard of ChallengePost? It's an online community that brings hackers together to team up on projects and inspire one another.

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Topics: Hackathons, User Stories

6 Practical Deep Learning Examples For Today's Data-Driven Business

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By: Sonya Hansen on December 12, 2014 at 5:00 AM


In just 24 hours, the world’s 3 billion internet users performed 2.8 billion Google searches, viewed more than 5.5 billion YouTube videos and sent nearly 500 million Tweets (stats courtesy of Internet Live Stats). That’s not just ‘big data’, that’s massive data. And the vast majority of it is unstructured -- data (such as emails, chats, articles, etc.) intended for human consumption and not designed for computers to process.

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Topics: Deep Learning & Machine Learning

A Marketer Walks a Mile in an App Developer's Shoes

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By: Sonya Hansen on December 9, 2014 at 1:00 PM

Do you ever think about embracing your inner geek, channeling creative energy into the vision you have for the next killer app? One neophyte developer, Phil Han, has taken on that challenge.

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Topics: Natural Language Processing

How To Analyze Email With Natural Language Processing

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By: AlchemyAPI on December 4, 2014 at 6:00 AM

As programmers, developers and hackers, we're all seeking solutions for our big data challenges. Whether our data comes in the form of emails, tweets, phone calls, blog posts, news articles or the elusive carrier pigeon, we want to understand what’s being said and implied – and we want to do it quickly.

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Topics: Natural Language Processing

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