arXiv:1509.07612

Sentiment Uncertainty and Spam in Twitter Streams and Its Implications for General Purpose Realtime Sentiment Analysis

Nils Haldenwang, Oliver Vornberger

제출 2015-09-25

원문 초록

State of the art benchmarks for Twitter Sentiment Analysis do not consider the fact that for more than half of the tweets from the public stream a distinct sentiment cannot be chosen. This paper provides a new perspective on Twitter Sentiment Analysis by highlighting the necessity of explicitly incorporating uncertainty. Moreover, a dataset of high quality to evaluate solutions for this new problem is introduced and made publicly available.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

논문 ID: publication/3527808공통 태그 Sentiment Analysis, Twitter Sentiment Analysis

Twitter Sentiment Analysis

토론

이 논문과 연결된 포럼 글이 아직 없습니다.