Year: 2025
Type: article
Abstract: This paper presents a method to automatically extract sentiment (positive or negative) from a tweet along with the various challenges appear that in the field. Indeed, the task of automatic sentiment recognition in online text becomes more difficult for all the aforementioned reasons like limited size of character i.e. 140, unlimited spelling mistakes, slang words and different languages.
Authors: Kunal Sonalkar, Shilpa Goel
Institution: University of Florida
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407352083