This review addresses emerging literature in the field of Opinion Mining with a particular emphasis on user-generated textual content. The focus is various tasks involved Mining, which satisfies comprehension essential criteria and methodologies that should be considered prior to embraking task. paper provides an in-depth analysis benchmarked datasets, widely-used feature sets, algorithms, tech...

Opinion mining refers to computational techniques for analyzing the opinions that are extracted from various sources. Existing research work on Opinion is based upon business and e-commerce such as product reviews and movie ratings. Opinion mining involves computational treatment of opinion and subjectivity in text. It has suddenly attracted the attention of the researcher fraternity. This surv...

Opinion inference arises when opinions are expressed toward states and events which positive or negatively affect entities, i.e., benefactive and malefactive events. This paper addresses creating a lexicon of such events, which would be helpful to infer opinions. Verbs may be ambiguous, in that some meanings may be benefactive and others may be malefactive or neither. Thus, we use WordNet to cr...