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Survey-credible conversation and sentiment analysis

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Abstract

In the context of Twitter, sentiment analysis has ushered in novel challenges. The emotions expressed in tweets can span the spectrum from positive to negative or can simply convey neutral information. This issue has gained significant prominence, particularly given the constrained length of tweets, which are limited to a maximum of 280 characters. This limitation has led to the widespread use of abbreviations, informal language, and the dissemination of erroneous information. An extensive evaluation of the literature on Twitter sentiment analysis and credibility assessment will be attempted in this paper. We commence with an examination of the current state of the art in assessing the credibility of conversations on Twitter. Then, we explore the field of sentiment analysis on Twitter, which includes a variety of features and approaches. Finally, a cross-referencing of the literature is carried out while making some novel proposals for future research on the evaluation of credibility in a social media context.

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Notes

  1. Source: https://www.oxfordlearnersdictionaries.com/.

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Author notes

  1. Lobna Hlaoua and Mohamed Nazih Omri have contributed equally to this work.

Authors and Affiliations

  1. MARS Research Laboratory LR17ES05, University of Sousse, Sousse, Tunisia

    Imen Fadhli, Lobna Hlaoua & Mohamed Nazih Omri

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  1. Imen Fadhli
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Fadhli, I., Hlaoua, L. & Omri, M.N. Survey-credible conversation and sentiment analysis. Soc. Netw. Anal. Min. 14, 13 (2024). https://doi.org/10.1007/s13278-023-01176-8

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