Sentiment Analysis for Agglutinative Languages


Adali E., Adamov A. Z.

10th IEEE International Conference on Application of Information and Communication Technologies (AICT), Baku, Azerbaijan, 12 - 14 October 2016, pp.848-850 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Baku
  • Country: Azerbaijan
  • Page Numbers: pp.848-850

Abstract

Other people judgment, sentiment, opinion and think about actions or product or speech are important for person or company or institutions for decision making processes. Today people declare their opinions, feeling and judgment about a product or a service or a film or a speech on social media platforms. Social media are easily accessible platforms and provide remarkable sources for analysis and evaluation. Sentiment analysis find out the feeling of people on an object. The feeling covers attitudes, emotion and opinions. Sentiment is subjective impression; not facts. Sentiment analysis is basically a text classifying problem. Therefore, use Natural Language Processing (NLP), statistics, or machine learning methods to extract, identify, or otherwise characterize the sentiment content of a text.