• Satvika
• Dr. Vikas Thada

Social media sites are gaining popularity across the world and they are being used in every sphere of life. Even, in India social media platforms are being used for all purposes ranging from movie reviews to political campaigns to digital marketing of products. One key application of social media which is under tremendous research is the sentimental analysis of users. As most of the people are active on the social networking sites and are using these platforms to launch their emotions about any specific product or service or even idea; hence sentimental analysis is the vital and focal point of research. Prior to purchase a product or service, consumers frequently surf the Web for expert reviews, but progressively also for suggestions of other consumers, expressed in blogs, social networks etc. Many useful suggestions are exhibited in text-only form (like in tweets). It is then prudent to extract aspects (like screen, battery) from the texts that discuss a particular entity (like a smartphone), i.e., sort out what is being discussed, and also estimate aspect sentiment scores, polarity i.e., how negative or positive the sentiment for each aspect is. These two goals are jointly termed as Aspect Based Sentiment Analysis. This review is based on this Aspect-based sentimental analysis concept.

Aspect, Sentiment Analysis, NLP, Social Media, Machine Learning

"A CONTEMPORARY REVIEW ON ASPECT-BASED SENTIMENTAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.597-604, July-2018, Available :http://www.jetir.org/papers/JETIR1807685.pdf

"A CONTEMPORARY REVIEW ON ASPECT-BASED SENTIMENTAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp597-604, July-2018, Available at : http://www.jetir.org/papers/JETIR1807685.pdf