E3: Effective Emoticon Extractor for Behavior Analysis from Social Media

Sentiments about products of varied types are expressed using internet media. Researchers are working on capturing these sentiments to generate opinion. Such generated opinions are useful for customers to decide about product. Another arena is analyzing the behavior of people using social media based on entered text and emoticons. To generate opinion about product or people based on text and emoticons, incremental clustering, mapping of clusters is implemented in this research work. R packages, methods and functions are used to achieve required results. It is proved that emoticons need to be considered along with text to generate effectual opinions.