Performance of Sentimental Analysis by Studying and Mining Social Media using Parsing Technique

The social media networks have evolved quickly and many people often use these services to communicate with others and categorise themselves by sharing their opinions, views and concepts. It is usually dispensed by winnowing the corresponding or interlinked events mentioned on social media websites like Twitter, Facebook, YouTube and Pinterest etc. A social media analysis has rapt from being a unidirectional to a bi-directional dialogue i.e. between generations to generation. The rudimentary objective behind such analyses is to see the extent of criticality with relation to criticism or appreciation delineated within the comments, tweets or blogs. This analysis shows how individuals assume, assess, talk and opine concerning completely different problems. This paper focuses on the trend detection and analyse the emotions expressed in a specific sentence, paragraph or document. The opinions and sentiments are extracted from the collected data and it is fairly estimated based on the degree of quality. The principle contribution of this paper is to provide an outline for those who seek to utilize social media scraping and analytics using different software tools either in their analysis or business. In addition, the system design to implement the proposed idea has been discussed.C. Venkatesh Muthiah – Performance of Sentimental Analysis by Studying and Mining Social Media using Parsing Technique, First International Conference on Information Technology, Communications and Computing (ICITCC 2017) 24-December-2017, Bhopal, M.P., India | ISBN (Online): 978-81-932623-3-7 | DOI: 10.5281/zenodo.113425