The goal of building this data set is to detect positive or negative thoughts to identify behavioral disorders of individuals via a combination of Natural Language Processing (NLP) mechanisms. Individuals’ status has been collected using Online Social Network (OSN) like Facebook, Twitter, and Instagram; which matched both ‘positive’ and ‘negative’ thinking. Negative thinking refers to a pattern of thinking negatively about yourself and your surroundings. Whilst everyone experiences negative thoughts now and again, negative thinking seriously affects the way you think about yourself and the world; even interferes with work/study and everyday functioning. That could be a symptom of a mental illness, such as depression, anxiety, disorders, personality disorders, anger, sadness, frustration, guilt, embarrassment, irritation, jealousy, or fear and schizophrenia. Positive thinking is like an optimistic person who sees good things everywhere and is generally confident and hopeful of the future. From the optimist's point-of-view the world is full of potential opportunities. For research purposes, texts were collected using specific positive keywords such as #Success, #Life, #Happiness, #Dream, etc. and negative keywords such as #Difficulties, #Feeling, #Failure, #Worry and many more. After that labeled them accordingly.