Graduate Research in Engineering and Technology (GRET)


With rapid strides of development and advent of technology, world has become more data-driven than it ever was. Historic analysis, forecasts, predictions and the consequent machine learning algorithms have become much accurate and efficient. Social media handles are thus a very valuable source of data in this era. A thorough analysis of the on-going trends and patterns which convey various expressions and emotions on these social media handles can be used to make a sentiment analyzer. The paper has a concrete objective of not only providing a review about the concepts of sentiment analysis so far but also propose a broad-based strategy to improve the performance of the sentiment analyzer.





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