A Systematic Review of Challenges in Information Retrieval from Online Social Networking Platforms

With evolution of massive advancements in technology the World Wide Web (WWW) has become the significant source of short and crisp textual messages. The emergence of short textual messages in internet are called as micro-text are due to existence of various blogging and social networking sites like Facebook, twitter, Instagram etc. These micro texts are highly important as they contain an opinion on a wide range of events pertaining to social issues, individual, products, organisations etc. The quality of text available online is highly variable as it includes the semantic information context and temporal words. Due to this there exist many inconsistencies in the text available online and further poses numerous challenges in sentiment analysis. The online text is the kind of unstructured data. In this paper various challenges and issues for sentiment analysis for online text are discussed.