Facebook Sentilyser is an android application, performing sentiment analysis on text from Facebook. It gives you statistical results about user’s mood like happy, sad or neutral. It has its own dictionary of words. It searches the wall posts from user’s timeline, parses them, extracts meaningful words and then analyzes these words by running them against that dictionary which is the internal database of this application, to categorize these words into positive, negative or neutral words. On the basis of these analyzed words it concludes overall mood/behavior of the user on Facebook.
Most of the applications do this task of sentiment analysis for English language, while most of the people use Roman Urdu on social media instead of English language. But Facebook Sentilyser not only works for English language it can also analyze text written in Roman Urdu.
For example: Posts like “aaj ka din boht acha guzra “and “I am very happy today” both can be analyzed using Facebook Sentilyser.
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