Text Mining hack: Subject Extraction made easy using Google API

Let’s do a simple exercise. You need to identify the subject and the sentiment in following sentences:

  1. Google is the best resource for any kind of information.
  2. I came across a fabulous knowledge portal – Analytics Vidhya
  3. Messi played well but Argentina still lost the match
  4. Opera is not the best browser
  5. Yes, like UAE will win the Cricket World Cup.

Was this exercise simple? Even if this looks like a simple exercise, now imagine creating an algorithm to do this? How does that sound?

The  first example is probably the  easiest, where you know “Google” is the subject. Also we see a positive sentiment about the subject. Automating the two components namely subject mining and sentiment mining are both difficult tasks, given the complex structure of English language.

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Basic sentiment analysis is easy to implement because positive / negative word dictionary is abundantly available on internet. However, subject mining dictionaries are

 

 

 

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