| Popis: |
Depression is seen as the biggest supporter of worldwide inability and a significant explanation behind Suicide. It affects the language utilization echoed in the present text. The foremost goal for the investigation is to analyze Reddit users' presents on recognize any components that may uncover the medical illnesses-based approaches of related online users. For these reasons, we utilize the Natural Language Processing (NLP) procedures and AI ways to deal with train the information and assess the productivity of our proposed technique. Sentiment analysis or opinion mining led on a dataset comprising of 16,000,00 melancholy or depression related and positive tweets by utilizing the proposed method. In the proposed method, Bidirectional Encoder Representations from Transformers (BERT) algorithm is used for classifying the tweets. BERT brought about 84.92% of accuracy in identifying depression related tweets with less training and more testing data. |
