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Shelley Gupta, Archana Singh and Vivek Kumar
Virtual users generate a gigantic volume of unbalanced sentiments over various online crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate analysis brings profits to various industries and their services. The sta...
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Naglaa Abdelhady, Ibrahim E. Elsemman, Mohammed F. Farghally and Taysir Hassan A. Soliman
Due to the widespread distribution of coronavirus and the existence of a massive quantity of data on social networking sites, particularly Twitter, there was an urgent need to develop a model that evaluates users? emotions and determines how they feel ab...
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Muhammad Atif and Valentina Franzoni
Users of web or chat social networks typically use emojis (e.g., smilies, memes, hearts) to convey in their textual interactions the emotions underlying the context of the communication, aiming for better interpretability, especially for short polysemous...
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Eva Hauthal, Alexander Dunkel and Dirk Burghardt
The presented study aims to investigate the relationship between the use of emojis in location-based social media and the location of the corresponding post in terms of perceived objects and conducted activities connected to this place. The basis for thi...
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Maria Krommyda, Anastasios Rigos, Kostas Bouklas and Angelos Amditis
Opinion mining techniques, investigating if text is expressing a positive or negative opinion, continuously gain in popularity, attracting the attention of many scientists from different disciplines. Specific use cases, however, where the expressed opini...
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Simon André Scherr,Svenja Polst,Lisa Müller,Konstantin Holl,Frank Elberzhager
Pág. pp. 19 - 36
When analyzing textual user feedback, the challenge today is that automation is only possible in a non-satisfactory way due to the limitations of understanding natural language. However, manual evaluation is not possible for products with a large amount ...
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