作者: Murphy Choy , Michelle L. F. Cheong , Koo Ping Shung , Ma Nang Laik
DOI:
关键词: Presidential election 、 Text mining 、 Champion 、 Sentiment analysis 、 The Internet 、 Computer science 、 Relation (database) 、 Data science 、 Context (language use) 、 Estimation
摘要: Abstract Sentiment analysis is a new area in text analytics where it focuses on the and understanding of emotions from patterns. This form has been widely adopted customer relation management especially context complaint management. With increasing level interest this technology, more companies are adopting using to champion their marketing efforts. However, sentiment twitter remained extremely difficult manage due sampling bias. In paper, we will discuss about application reweighting techniques conjunction with online divisions predict vote percentage that individual candidate receive. There be depth discussion various aspects outcomes as well potential pitfalls estimation anonymous nature internet. Introduction