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@article{153421,
        author = {M.Srisankar and Dr.K.P.Lochanambal},
        title = {EMOJI’S IMPACT ON SENTIMENT ANALYSIS – A SURVEY},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {366-371},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153421},
        abstract = {Sentiment Analysis (SA) is a still-developing field of text mining research.                               It refers to the algorithmic processing of text's ideas, feelings and subjectivity.                                     The usage of emojis on social media has skyrocketed in recent years. As a result, we have focused on the importance of emojis in SA. This survey article aims at offering                                      a comprehensive overview of the most current developments in this field.                                          This study looks at and rapidly covers a variety of recently suggested algorithm                               advances as well as several SA applications. The contributions of these papers to                               various SA techniques are grouped into categories. The importance of related                                    fields to SA, such as transfer learning, emotion detection and resource building,                              which have lately attracted researchers is emphasized. The study's main objective is                            to present a near-complete overview of SA techniques and related fields, as well as                           some background information. The sophisticated categorizations of a significant number of recent articles, as well as the description of a recent research trend in sentiment analysis and related disciplines are the main contributions of this work.},
        keywords = {Sentiment Analysis (SA), Text and emoji, Twitter data},
        month = {},
        }