We had three different speakers at the event. Firstly, an inspirational speech by Seth Grimes, world famous expert in the field of BI and text analytics. He talks about his experience related to text analytics and predictive analytics in business intelligence.

See the video: Seth Grimes talks about predictive analytics & text analytics for users of business intelligence software like QlikView

Secondly, Mattias Tyrberg, CEO at Saplo, demonstrates how text analytics and predictive analytics were used to predict the outcome of the US Presidential Election 2012. He also shows how organizations can use text analytics on top of existing BI applications to add a new layer of knowledge. For more information about how to use text analytics for QlikView visit our product pages.

See the video: Mattias Tyrberg demonstrates how text analytics can be integrated and used in QlikView

Lastly, Pauline Henrysson, Solution Architect at QlikView and Henric Cronström, Ph.D. Vice President Product, talks about how QlikView works in the area of text analytics and predictive analytics. They also discussed how QlikView partners can help QlikView users to integrate this type of solutions.

See the video: Henric Cronström and Pauline Henrysson talks about how QlikView works with text analytics, predictive analytics and partners

Have a look at the application here.

The QlikView Business Discovery Platform is outstanding at handling huge sets of data. With little effort you can summarize data in a single graph enabling you to see patterns previously unknown. You can zoom in and out on different topics of interest and draw your own conclusions and make your own in-depth analysis of what it is you are seeing.

For the United States Presidential Election 2012 QlikView has connected Text Analysis from Saplo to QlikView to create an immense application for analysing what is written about the candidates.

Sentiment of articles and tweets per topic and candidate.

The analysis is using Saplo Context to categorize texts into election topics and Saplo Tags to create an overview of recently mentioned entities. In addition, Saplo Sentiment gives you an idea of what people think about the candidates and their ideas. Want to give Saplo Sentiment a try? Download our try-sentiment script and follow the instructions.

The application has been developed together with Industrial CodeBox that implemented support for Saplo Text Analytics in their QlikView plugin called QVSource making it possible for anyone to use technology from Saplo inside QlikView. You find the plugin here.

As Gartner describe it;
“Text analytics has become increasingly important for many use cases but the market consists of numerous vendors many of which are using immature technologies. Our Who’s Who will help IT leaders find a vendor to suit their particular needs.”

There is a huge need for text analytics services but only a few companies can deliver the required quality. Its a major achievement for us to be recognized by Gartner as a leading vendor.

If you want to read more about the report you can find it here.

… and by the way in the next couple of months you will see several interesting news from us =)

Thanks juhansonin for picture

If you are interested in going and have not singed up we can offer a special discount of $300 if you use the code MT300 here.
Our CEO Mattias Tyrberg is invited to speak and will be there both days so please say Hi!

Hope to see you there

If you are interested in meeting us please Tweet us (@Saplo), send us an email or visit our booth on Thursday.

Hope to see you there.

Picture by thenextweb

As we wrote about last year this is a competition where journalist have been researching to find the most interesting and promising technology companies. The list was published today and consist of 33 companies (called the Top 33-list) and Saplo is one of the awarded companies. The list includes the most promising companies in the fields of IT, materials, energy, medical and environment.

We are very happy to be on the top 33 list for the second time and we could not have done it without the help of all Saplo supporters. Thanks everyone.

We are very proud and want to thank everyone that have voted for us in the competition. We were beaten only by the Onlinepizza API and let’s face it, who can really compete with pizza?

If you want to try our text analytics API you can sign up for a free account here and an API key will be sent out to you. Documentation for our API can be found on our developers page.

So please try out Sweden’s second best API and let us know what you think.

For this tutorial we’ll be using PHP. Let’s dive right in!

Step 1: Generate Twitter API credentials

Visit https://dev.twitter.com and click the Sign in button up in the right corner. Use your Twitter account to log in.

Click the Create an app link and you will be asked to fill in details about your app.

The only field that might cause you some confusion is the Callback URL field used by Twitter to authenticate the user. If you plan to try this app out on your local development environment Twitter probably won’t accept an URL like http://localhost/saplo-similar-twitter-users, but we can easily go around this problem by using an URL shortener, e.g. http://goo.gl/.

Accept the Developer Rules Of The Road and submit the form by clicking the Create your Twitter application button and you’ll be redirecting to a page displaying information about your app, e.g. OAuth settings.

Scroll down to the bottom of the page and click the button labeled Create my access token. The page is reloaded and if you scroll down to the bottom again, you’ll see your access token.

Great, we have prepared everything on the Twitter side of our app, time to set up a Saplo API account!

Step 2: Generate Saplo API credentials

Visit http://saplo.com/signup/free and fill out the required fields Name and E-mail. Optionally you can provide us with some more information by filling in the other fields as well. Click the Submit button and you will be redirected to a page thanking you for signing up and asking you to keep an eye on your e-mails for more information.

Check your e-mail for an e-mail labeled Saplo Text Analysis API invitation, when it arrive just open it and click the registration link. This will open a page telling you that your API account has been created and that your API key will be send to your e-mail.

Great, let’s check our e-mail again. You should get a mail labeled Saplo API key. Open it and you’ll find your API credentials.

Step 3: Grab the code

In this tutorial we are not going to write a lot of code, let’s just download the complete app from GitHub.

Put the downloaded content in a folder where Apache or some other web server running on your local environment can reach it. Open the app in your browser (e.g. http://localhost/saplo-similar-twitter-users) and make sure that you can see the Twitter username form.

Alright, we have successfully set up the app, now time for some final preparations before we can run it.

Step 4: Configure the app

Go to the directory where you have put the content you previously downloaded. Open the file named settings.php. Enter the Twitter-, and Saplo API settings, but leave COLLECTION_ID set to 0 for now. Save the file.

settings.php:

/*
 * Saplo API credentials.
 */
define('API_KEY', 'YOUR_API_KEY_HERE');
define('SECRET_KEY', 'YOUR_SECRET_KEY_HERE');

/*
 * ID of Saplo Collection where we would like to store tweets.
 */
define('COLLECTION_ID', 0);

/*
 * Twitter API credentials.
 */
define('CONSUMER_KEY', 'YOUR_CONSUMER_KEY_HERE');
define('CONSUMER_SECRET', 'YOUR_CONSUMER_SECRET_HERE');
define('USER_TOKEN', 'YOUR_ACCESS_TOKEN_HERE');
define('USER_SECRET', 'YOUR_ACCESS_TOKEN_SECRET_HERE');

We need to create a Saplo Collection where tweets can be stored. Run the create collection helper script by accessing collection.php (e.g. http://localhost/saplo-similar-twitter-users/collection.php) in a web browser. The ID of your new Saplo Collection is printed out on the screen, copy it and open up your settings.php file again. Set COLLECTION_ID, save and close the file.

settings.php:

define('COLLECTION_ID', YOUR_COLLECTION_ID);

Step 5: Run the app

That’s it, you should now be able to try the app out! Open the app by accessing your project directory in a web browser and you should see the Twitter username form. Enter a Twitter username and click Go. The whole process of fetching tweets and analyzing them is started, this might take a while, be patient. Right now we don’t have any users to compare against so you will be handed an empty result. Try adding a new user, wait for the script to work its magic and voila the similarity between the two Twitter users is displayed.

Notes

A free Saplo API account gives you 2 000 API calls per month with a hourly limit of 240 calls. Each time you add a Twitter user you’ll use approximately 25 calls (every tweet fetched from Twitter API will mean one call when adding it to Saplo API). That being said, we can easily figure out that you won’t be able to add that many Twitter users to your application per hour so select your Twitter users carefully. Also a free account has a limit of 20 groups meaning that you would anyhow not be able to add more then 20 Twitter users.

A quick note on the quality of the similarity comparison; in this application only the last 20 tweets is fetched from Twitter per user. You could increase this limit to 30, 40 or more tweets in the settings.php file and that way improve the comparison. However that would make you run out of API calls quickly.

Thank you for reading and good luck!

For the fourth year, Malmö Business Awards had the award Rookie of the Year. In order to qualify for the prize requires that the person lives in Malmö and is under 30 years. Person shall, through its business have been innovative, contributed to a renewal of the business community in Malmö or accomplished something that stands out, it feels fresh,wild or daring. The prize is presented in cooperation with Sydsvenskan.

The jury’s justification (translated from Swedish),

This year’s business rookie has gone from strength to strength and is a model for entrepreneurs. The way to do business is characterized by the drive, target focus and spirit of the future – preferably with a latte in his hand. The product literally satisfies the need for customers to understand the meaning of the text written online. 

We want to thank everyone that helped us getting where we are from customers to friends.

Last year Saplo was chosen as one of the top 20 innovations from Sweden based on the work within text analytics. As one of the winners Saplo was invited to be a part of an exhibition that we wrote about in our post Text Analytics on World Tour called Innovative Sweden. Before Washington D.C Innovative Sweden have visited Stanford, CA and Toronto, Canada. Later this year we will visit Brazil and China.

In Washington the Exhibition will be displayed at the House of Sweden (aka. Swedish Embassy) from March 1 to April 30. It starts with an opening event on the evening of March 1st with many well known guest such as Sweden’s Minister for Enterprise, Annie Lööf. If you want to join the opening event please register here.

If you cant join the event but want to meet us please write us an email.

Hope to see you in Washington.

Picture by imatty35