The aim of sentiment analysis is to gain specific information from any given text that is grammatical. This extraction provides us with more accurate data about the meaning, intended by the text's creator. The key to this information is sentiment analysis. Without this analysis the possible interpretation of the author’s sentence could not be detected or might be misunderstood. In the case of an ambiguous sentence the recipient can rely on such an analysis to decide what the original meaning was. This way all the computable information can be graded, on the phrase and sentence level of a text. The notion of opinions about the words and sentences can help to evaluate in complex sentences. In the process of extracting information natural language processing, computational linguistics and text analytics is applied. On the long run this model can help the users to receive useful data. In the recent studies of Opinion mining and Sentiment analysis the researchers come to a logical consequence. To a certain point, mostly about seventy percent of a data can accepted as to be valid. Among the methods of Sentiment Analysis this paper will also mention a few existing issues and ideas about the problems it has to overcome