A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods

Social media has been remarkably grown during the past few years. Nowadays,\nposting messages on social media websites has become one of the most popular\nInternet activities. The vast amount of user-generated content has made social\nmedia the most extensive data source of public opinion. Sentiment analysis is\none of the techniques used to analyze user-generated data. The Persian language\nhas specific features and thereby requires unique methods and models to be\nadopted for sentiment analysis, which are different from those in English\nlanguage. Sentiment analysis in each language has specified prerequisites;\nhence, the direct use of methods, tools, and resources developed for English\nlanguage in Persian has its limitations. The main target of this paper is to\nprovide a comprehensive literature survey for state-of-the-art advances in\nPersian sentiment analysis. In this regard, the present study aims to\ninvestigate and compare the previous sentiment analysis studies on Persian\ntexts and describe contributions presented in articles published in the last\ndecade. First, the levels, approaches, and tasks for sentiment analysis are\ndescribed. Then, a detailed survey of the sentiment analysis methods used for\nPersian texts is presented, and previous relevant works on Persian Language are\ndiscussed. Moreover, we present in this survey the authentic and published\nstandard sentiment analysis resources and advances that have been done for\nPersian sentiment analysis. Finally, according to the state-of-the-art\ndevelopment of English sentiment analysis, some issues and challenges not being\naddressed in Persian texts are listed, and some guidelines and trends are\nprovided for future research on Persian texts. The paper provides information\nto help new or established researchers in the field as well as industry\ndevelopers who aim to deploy an operational complete sentiment analysis system.\n