Sentiment analysis for agglutinative languages

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.