
Sentiment Analysis and Opinion Mining have been of great interest to the researchers during recent years. It is the process of classifying the opinions or sentiments according to the polarity of the text into positive, neutral and negative. Most of the organizations and industries highly depend on data analytics for their planning and decisionmaking process. Opinion mining and sentiment analysis have great importance in our day-to-day decision making from purchasing products and services to making investments. In this survey, we briefly incorporated the approaches and techniques proposed by researchers in recent investigations along with the issue related to sentiment analysis and opinion mining.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
