Dynamic Text Formatting from Derived Sentiment/Emotion from Emojis
Publication Date: 2016-Sep-09
The IP.com Prior Art Database
Disclosed are a system and method for detecting/creating patterns based on emoji/emoticon usage and then using those patterns to alter the surrounding text to indicate a sentiment and emotion association for the emoji/emoticon for a particular user.
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Dynamic Text Formatting from Derived Sentiment /Emotion from Emojis
Emojis are commonly used to communicate via text messaging. Each emoji is used to communicate a different feeling, but emojis have different meanings for different users. Emojis can be extremely confusing for users, especially new or inexperienced users that do not understand what the emoji is supposed to convey. No standard can be applied when looking at emojis to determine the intended sentiment and emotion or how it relates to the surrounding text.
A method is needed to increase the probability of detecting an accurate mood and understanding of the text and communicated sentiment when a sender uses an emoji.
The solution is to establish a personal pattern for an individual user and then gauge that user's exact sentiment and emotion when using an emoji. The novel contribution is a system and method for detecting/creating patterns based on emoji/emoticon usage and then using those patterns to alter the surrounding text to indicate a sentiment and emotion association for the emoji/emoticon for a particular user. This system leverages existing art for sentiment and emotion analysis of the present text. It then creates a personalized mapping/correlation between the text and emojis to display the sender's intended sentiment and emotion in the user interface (UI).
Through use, the system can learn and predict personal patterns. It can improve sentiment analysis by combining the patterns of sentiment...