UNDERSTANDING INFORMAL TEXTS, ABBREVIATIONS AND EMOTICONS USING NLP FOR SENTIMENT ANALYSIS
Nowadays, the usage of social media has grown to a large extent. And the use of Informal texts and emoticons is common to express their feelings in chatting, blogs etc. Understanding abbreviations/ short-hand and emoticons from the normal texts are one of the challenging tasks. An abbreviation is a shortened form of a word or phrase, with locations, cultures etc. People use different abbreviations of the same word and understanding those abbreviations with respect to proper semantics is one of the backbreaking tasks by a computer. In this paper, our objec- tive is to detect shorthand/abbreviations and emoticons meaning from the normal conversation with the help of our new proposed system which is using the Longest Common Subsequence algorithm
Keywords: emoticons, shorthand message, abbreviation
