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.
"A Review on Sentiment Analysis techniques and applications,"
Graduate Research in Engineering and Technology (GRET): Vol. 1:
3, Article 4.
Available at: https://www.interscience.in/gret/vol1/iss3/4