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Smack Talk, Big Data, and Localization Liesl Leary March 2013

Smack Talk, Big Data, and Localization

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Presentation delivered at GDC 2013 regarding the analysis of online conversations among gamers to gain meaninful insight.

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Page 1: Smack Talk, Big Data, and Localization

Smack Talk, Big Data, and LocalizationLiesl Leary

March 2013

Page 2: Smack Talk, Big Data, and Localization

Vote by Clapping: Stuff Gamers Like

Page 3: Smack Talk, Big Data, and Localization

CLAPPING The Big Data of the Ancient World

Page 4: Smack Talk, Big Data, and Localization

Online conversations = unstructured data (a lot of it)

Page 5: Smack Talk, Big Data, and Localization

Meaningful insights=*which markets should we localize into?

*what kind of slang do players use?*what do gamers want?

*what will gamers pay for?*what kind of gamers do I have?

*how can we get more registrations?

Page 6: Smack Talk, Big Data, and Localization

Examples of online conversations

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Emotional

Rational

Behavioural

Customer Relevance Scores: I think….“Blizzard is too complicated in they way they talk to me”“Cityville doesn’t use my language”“I need to get more rewards by adding more friends to this game”“I should share my prize with other friends”“I’m not trying hard enough”“It’s hard to understand the rules of this game”“I am wasting time by playing this game.”

Brand Commitment Scores: I feel….“Envious for not having achieved more in this game”“Bored waiting to progress in this game”“Stressed, isolated and frustrated”“At the mercy of luck & have no control over my score”“Inadequately trained to play”“That the sequel is not living up to promises”“That more friends would make this more enjoyable ”

Product Commitment Score: I do….“Spend my money to purchase this game”“Spend my time doing mundane repetitive tasks rather than doing what I’m paid to do”“Everything myself”“Ignore a lot of what I’m sent”“…not believe a lot of what X says”“…not make the most of the tools available to me”“…not invest time in my development”

Page 7: Smack Talk, Big Data, and Localization

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Key Campaign Milestones

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Spain

S’up?

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Product Commitment in 4 Countries

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Page 9: Smack Talk, Big Data, and Localization

From Data to Meaning

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Big Data•QUANTIFIES sentiment through the Customer Commitment Framework

•Generates more than 50K words per project/per language

MT•Typical time constraint is 2.5 weeks for translation for any volume of words. MT achieves this goal

Linguists

• QUALIFIES the data for meaning

• Professionally translates what is important

Page 10: Smack Talk, Big Data, and Localization

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Your Presenter

Liesl Leary, SDL Global [email protected]: lieslramaLinkedin: www.linkedin.com/in/lieslleary

Page 11: Smack Talk, Big Data, and Localization

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This presentation and its content are SDL confidential unless otherwise specified, and may not be copied, used or

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