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Commits on May 12, 2014

• finished thesis assessment phase

  ljsou

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Commits on Apr 28, 2014

• computed the perplexity of a held-out test set to evaluate the model

  ljsou

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Commits on Apr 26, 2014

• update model's parameters

  ljsou

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• generate a generic query analizer based on LDA

  ljsou

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Commits on Apr 25, 2014

• update user query analisys

  ljsou

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Commits on Apr 14, 2014

• update notebooks

  ljsou

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• generating a noteboo for estimating the intentions

  ljsou

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• genera generating a unique interface for estimating the goals

  ljsou

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Commits on Apr 12, 2014

• update again the notebook

  ljsou

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• update notebook

  ljsou

  committed
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• riview query analizer

  

  Javier Suarez

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Commits on Mar 13, 2014

• add search utilities

  ljsou

  committed
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• add resource's analizer

  ljsou

  committed
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• update the QueryAnalyzer notebook

  ljsou

  committed
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• update the project's structure

  ljsou

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Commits on Mar 12, 2014

• implement chunker function

  ljsou

  committed
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• update ipnb

  ljsou

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• implementing LSI and LDA

  ljsou

  committed
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Commits on Mar 9, 2014

• disable console logging in Python

  ljsou

  committed
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• testing LSI and LDA for topic modeling

  ljsou

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Commits on Jan 30, 2014

• update topicModeling function

  ljsou

  committed
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• automatically extract semantic topics from documents

  ljsou

  committed
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Commits on Jan 29, 2014

• Merge branch 'master' of https://github.com/ljsou/QueryAnalizer

  ljsou

  committed
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• create function for accuracy test

  ljsou

  committed
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• add nltk pos tagger from Stanford

  ljsou

  committed
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Commits on Jan 28, 2014

• update functions to permform accuracy tests

  ljsou

  committed
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• create functions to permform accuracy tests

  ljsou

  committed
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• performing preliminary test of accuracy

  ljsou

  committed
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Commits on Jan 27, 2014

• improving the training data

  ljsou

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• improving the training process of the classifier

  ljsou

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Commits on Jan 25, 2014

• creating training data

  ljsou

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• Create and Store a negative sample to the training process.

  ljsou

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Commits on Jan 24, 2014

• update the function to create a positive sample for the training process

  ljsou

  committed
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• Create a positive sample to the training process and store it into MongoDB

  ljsou

  committed
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• Data cleaning and preprocessing the AOL Search, and Store it as Obtain query features of aol_search. Store the AOL Goals into Mongo DB and Obtain query features of aol_goals.

  ljsou

  committed
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