• Mr.M.YUVARAJA
• DR.R.NITHYA.

Recently, Sentiment Analysis (SA) is gaining much importance wherein, sentiments are gathered, examined and combined from text. This has led to the inclusion of various subdomains, each capable of dealing with varied level of examination. In this paper, Aspect-Level SA (ALSA) is focussed on which the main goal is to find and collect sentiments as well as entities in documents. An in-depth summary of the prevailing contemporary schemes which portray great development in assessing the opinion or target related to an entity and the linked sentiment are presented. Diverse AL analysis schemes based on frequency, syntax, supervised as well as unsupervised Machine Learning (ML), Deep Learning (DL) and hybrid schemes are presented. The future possibility of research in AL analysis is also presented.

A Survey on Diverse Techniques for Sentiment Analysis

"A Survey on Diverse Techniques for Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e75-e89, July-2022, Available :http://www.jetir.org/papers/JETIR2207410.pdf

"A Survey on Diverse Techniques for Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe75-e89, July-2022, Available at : http://www.jetir.org/papers/JETIR2207410.pdf