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Sentiment Analysis

Matt Kirk
October 21, 2013

Sentiment Analysis

Talk given in Portland October 21, 2013

Matt Kirk

October 21, 2013
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  1. A Solution • Listen To Speeches • Watch Others •

    Read Books and Materials Monday, October 21, 13
  2. Step 1: Collect Data • https://github.com/jperla/sentiment-data • Finance • Harvard

    Negative Words • Hu Liu Words (Positive / Negative) • Pang Lee Movie Reviews Monday, October 21, 13
  3. The Features of a Chess Piece • Color • Location

    on Board • Type (Rook, Queen, Pawn...) • Material • Length • Width • Temperature Monday, October 21, 13
  4. Support Vector Machines • Using the example of linear support

    vector machines (our chess example) we’d end up with a similar response to the clustering Monday, October 21, 13
  5. Parameter C • Find through Cross Validation • Try all

    C’s from 2^-15 to 2^15 accepting the lowest error. Monday, October 21, 13
  6. Conclusion This is just the beginning Go learn more become

    more adept at data analysis Monday, October 21, 13