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Extracting context keywords from Hashtags via Realtime Indexing

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Hashtag Context Extractor

How it works?

Basically it receives the tweets from stream and using Lucene's NRT, indexes the tokens from tweets using N-Grams. By searching for a hashtag, it receives the top 5 keywords describing the hashtag at that moment of the indexing.

Example:

Hashtag: #VoteLeave

Context: [leave, vote]

Issues

It might not scale in the long run. Most of the index is memory based. I couldn't test it out yet.

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Extracting context keywords from Hashtags via Realtime Indexing

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