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Keyword Extraction ... or why NLP matters!

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Konstantin Tennhard Ruby Developer at flinc Hi, I‘m…

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Konstantin Tennhard Ruby Developer at flinc Hi, I‘m… Ruby enthusiast Bartender Computer Science student Photographer Mountain bike addict Computer Linguist

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Problem What are we talking about?

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for.

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The Occupy Wall Street movement began in Zuccotti Park on a glorious mid-September Saturday and, so far, many of its larger marches have taken place in the warmth of New York's Indian summer. But winter has been looming, and on Saturday, just a couple days before Halloween, the protesters got a preview of what they're in for. Named Entity Adjective Noun

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Cooccurrence Don't be anxious ... ... it's not that bad

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... protesters got a preview ... Word window Cooccurrence

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What do we want?

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What do we want? Well, how about extracting nouns and adjectives that cooccur in word windows of a certain size? Wouldn't that be something.

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But ... ... let's talk about something else first.

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Natural Language Processing ... and the sad state of Ruby libraries

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NLP What is it?

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NLP Language analysis Compute intensive tasks Large data sets Machine learning State-of-the-art Science

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NLP tasks What is NLP good for?

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NLP tasks Keyword extraction Opinion mining Text summarization Text classification Machine Translation Named Entity Recognition

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Sounds fancy, doesn't it?

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But ... ... before you can do the fancy stuff, you need to do a couple of other things first!

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NLP Tasks POS Tagging Stemming Chunking Segmentation Lemmatization Tokenization The cranky ones.

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NLP Pipeline Sentence splitting Tokenization POS tagging Stemming / Lemmatization Clean up Fancy stuff

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Ruby Libraries Well, there isn't really much available!

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Keyword Extraction Right,that's what we are actually talking about here.

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Solution How can we solve this problem?

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Three Steps Generate Cooccurrence Graph Part-of-Speech Tagging Stemming Apply Weighted PageRank Extract Nodes with Highest Rank 1 2 3

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The algorithm is known as TextRank and has been published by Rada Mihalcea and Paul Tarau in 2004 in their Paper “TextRank: Bringing Order into Texts” http:/ /acl.ldc.upenn.edu/acl2004/emnlp/pdf/Mihalcea.pdf

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... protesters got a preview ... Word window Cooccurrence

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... protesters/NN got/VB a/DET preview/NN ... POS Tags

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Street Wall movement Zuccotti Park gloriou mid-Septemb Saturdai larger mani march place warmth New york Indian summer winter coupl dai Halloween protest preview Cooccurrence Graph

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Weighted PageRank WS(Vi) = (1 d) + d · X Vj 2In(Vi ) wji P Vk 2Out(Vj ) wjk WS(Vj) We will use Lexicographer's Pointwise Mutual Information as weighting function.

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Code Well, how do we really solve this? Show me some code!

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Code •Simple interface •Poor performance - this is just an academic example! text = "..." # your text count = 5 # number of words to extract KeywordExtractor. extract_most_important_words(text, count)

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Demo Yeah, it actually works!

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Questions?

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github.com/t6d/keyword_extractor Purely developed for academic purposes. This library is by far not production ready.

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Thanks! W e‘re hiring! @t6d github.com/t6d [email protected]