IIIT Hyderabad Publications
Enhanced Sentiment Classification of Telugu Text using ML Techniques
Authors: Muku Sandeep,Nurendra Choudhary,Radhika Mamidi
Conference: The 25th International Joint Conference on Artificial Intelligence IJCAI-16
Location Hilton, New York City, USA
Report no: IIIT/TR/2016/12
With the growing amount of information and avail- ability of opinion-rich resources, it is sometimes difficult for a common man to analyse what oth- ers think of. To analyse this information and to see what people in general think or feel of a product or a service is the problem of Sentiment Analysis. Sentiment analysis or Sentiment polarity labelling is an emerging field, so this needs to be accurate. In this paper, we explore various Machine Learn- ing techniques for the classification of Telugu sen- tences into positive or negative polarities.
Full paper: pdf
Centre for Language Technologies Research Centre
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