Uncertain user-generated Social Media Data

Uncertain data has been an area of concern for several academic researchers and practitioners. Its beyond natural language processing for it is the means of communication via language which is user understandable. It can be regional language, acronyms, abbreviations, non-spaced words etc. 

Such data can be normalized using different techniques. This field can be said to be text normalization, converting un-structured grammar of data into structured grammar, noise removal etc. 

This text normalization can be rectified using grammar, dictionary, part of speech tagging etc.

Applications:
For any social media analytic, understanding data and its semantic is most important task. Syntax understanding is the sub domain of this step. Various applications include
  • Event Detection
  • Sentiment Detection
  • Topic Tracking
  • Recommendation system
and data analysis is made on the basis of these detection.

Good Luck!!!!


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