Twitter Sentiment Analysis, 3-Way Classification: Positive, Negative or Neutral?

ÇELİKTUĞ M. F.

IEEE International Conference on Big Data (Big Data), Washington, United States Of America, 10 - 13 December 2018, pp.2098-2103 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Washington
  • Country: United States Of America
  • Page Numbers: pp.2098-2103
  • Keywords: 3-Way Sentiment Analysis, Polarity detection, Social Media Analysis, Twitter Analysis, Twitter Sentiment Analysis
  • Gazi University Affiliated: No

Abstract

People face with the huge amount of information on each day with the advent of big data era. The data amount stored and processed by Facebook, Twitter and other big social networks store (e.g. Instagram) is massive in those days. Online social networks provide great opportunity for propagation of almost any type of information. It's actually much much easier to disseminate an idea/knowledge than previous times. Naturally, this creates information validity and immediate curiosity about mass evaluation problem in general. In this regard, sentimental polarity detection in social media (e.g.