Language Sentiment Analysis for Sunrail Transportation

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.