Viewpoint and sentiment mining are an important research field because collecting people's opinions is a difficult activity due to the
large number of regular posts on social networks. Around 90% of today 's data have been generated over the last two years and it is
not easy to get an insight into this large-scale data [17, 18]. Sentimental research, for example in industries, has many uses across
different contexts to get input across products from which businesses can collect consumer feedback and social media comments.
Opinion and sentimental mining were well researched and all the various methods and areas of study were explored in this article
[10]. Some research has been done on Facebook as well but in this paper, we concentrate more on Twitter's emotional analysis. One
solution for larger texts would understand the text, summarize it, and give it weight whether it is positive, negative, or neutral. Two
fundamental approaches to summarizing text are an abstract and extractive tool. Words and words query
