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"Sentilyze", Twitter Sentiment Classification - UPDATE

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Thu May 24, 2012 7:27 pm Change Time Zone

"Sentilyze" Twitter Sentiment Classfication

Sentilyze on Github

Changes:
  • (New-9/6/12) Fix Classifier Issues, Add Mutual Information Keyword Generation Function
  • (6/26/12) Added Naive Bayes Sentiment Classifier
  • Most things related to television shows were removed. Now any tweet can be sentimentally classified!
  • Changed the name from "See,Save,Skip" to "Sentilyze".

What's included in Sentilyze?
  • Tweet Sentiment Classifer (Keyword Counting and Naive Bayes)
  • Tweet Language Classifer
  • Keyword List Generation using TF-IDF
  • Keyword List Generation using Mutual Information
  • Keyword List Expansion using WordNet

Hope more people find this useful with the new changes.

Also I am working on an addition Sentiment Classifer using Naive Bayes. So if you're interested in that, be sure to watch this post for more updates.
Last edited by chargil on Thu Sep 06, 2012 6:00 pm, edited 3 times in total.
chargil
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Mon Jun 11, 2012 7:41 pm Change Time Zone

Can you please post this code into GitHub? So whomever wants to build the further enhancements can officially pull and extend it.
Durai
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Tue Jun 12, 2012 5:33 pm Change Time Zone

I will get it into the hpccsystems/ecl-ml repository as soon as possible.
chargil
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Tue Jun 12, 2012 5:35 pm Change Time Zone

Thanks for the reply. I will look forward to get it from github. :)
Durai
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Tue Jun 19, 2012 5:04 pm Change Time Zone

You can now find Sentilyze on github in the 'Examples' folder.
chargil
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Tue Jun 26, 2012 9:25 pm Change Time Zone

I've added a Naive Bayes classifier to both github and the "Contributions" section on hpccsystems.com.
chargil
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Thu Sep 06, 2012 6:23 pm Change Time Zone

I've just uploaded a new version of Sentilyze to contributions. For those of you who are tracking Sentilyze on github, the updates should show up shortly.

  • Sentilyze.KeywordCount.Generate Added Keywords_MI function (generates a list of words sorted by descending Mutual Information weights)
  • Created "File String Defintions" sections which should ease the setup of Sentilyze
  • Sentilyze.NaiveBayes: Fixed an issue with the wordbag vector
  • Sentilyze.Language: Fixed ngram issue with Language Classifier (unnecessary bi and trigrams were being generated)
  • Sentilyze.*: Standardized the input/output formats of all functions. All preprocessing functions and classification functions take and return Raw (ML.Docs.Types.Raw) record sets.
chargil
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