Social networks have broad applications in today's world. Initially, they are used for entertainment and leisure. However, from another perspective, social networks can be utilized to identify behavioral patterns. For instance, by analyzing user opinions on social networks, we can identify weaknesses in our businesses. Gender is one of the influential parameters in user behavior. When faced with a topic, women tend to react differently compared to men. In this notebook, we intend to predict the gender of individuals based on the data provided by Twitter and Instagram users.
P-Darabi/Gender_Detection_Based_on_User_Information
Gender Detection Based on User Information
Jupyter Notebook