Emoji Detection System Using Machine Learning

@article{1712361,
      author = {Priyanshu Sharma, Soumya Singh, Dr. Anuj Chandila, Prof.(Dr.) Sanjay Pachauri},
      title = {Emoji Detection System Using Machine Learning},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {5},
      pages = {2565-2566},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712361.pdf},
      abstract = {This paper explores the creation of an emoji detection system using machine learning, developed in a practical and exploratory manner rather than in a polished theoretical style. The study grew from observing how often people rely on emojis to express emotions that do not always come across in written text. By experimenting with commonly used models and gradually testing different approaches, the system was built to identify emojis in both text and images with reasonable accuracy. Although not perfect, the work reflects a realistic research process and offers insights for further improvement.},
      keywords = {Emoji Detection, Machine Learning, CNN, BERT, Natural Language Processing.},
      month = {November},
      doi = {https://doi.org/10.64388/IREV9I5-1712361}
  }