Abstract
Microblog has become a very popular communication tool among internet users these days. Microblog sites are a great data mine for natural language processing. Studies on these platforms are insufficient to determine the emotion in texts based on opinion analysis (positive, negative, neutral). In this study, it was shown how natural language processing can be used in sentence recognition in texts and a tool for recognizing emotion in Turkish language has been developed. The texts written by Twitter users are quoted and tagged with tweets that contain feelings of "happiness, fear, anger, sadness". Labeling was done using "left -k" and "binary vector" methods. In both methods, the "happiness" and "fear" classes are labeled with high achievements, but the achievements of the "anger" and "sad" classes are lower because of the closeness of the two senses.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
