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Project - Phase 1

A 2015 CS 410 - Text Information System project

Twitter promotes high interactions among users. 500 million tweets are produced per day and roughly 10% of these are questions tweeted by users.

In the first phase of this project we aim to identify such tweets. We focus on

  • Classifying tweets into a question and non-question.
  • Classifying question tweets into machine-answerable or not.

#Technique

Towards this end we implemented a technique that involvs 4 steps

  • Data gathering
  • Feature extraction
  • Feature selection
  • Training classifiers

Our results have been encouraging so far.

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Text Information System (CS 410) project -

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