Sentimental Analysis on Twitter data using Deep Learning

In today's interconnected world, social media platforms have enabled individuals to easily communicate and share their emotions with people worldwide. In the current context, some individuals exhibit a higher degree of extroversion on social media compared to their offline interactions. However, when they encounter difficulties or situations requiring support, they may not find the help they need because they tend to express their feelings on social media rather than seeking assistance from those close to them. Consequently, if these individuals are forewarned and equipped with effective strategies, it could potentially reduce the stress and mental health challenges they experience. As a result of the escalating global prevalence of these issues, numerous researchers have been drawn to this topic, focusing on the matter and proposing practical solutions. The study employs state-of-the-art NLP techniques, including tokenization, word embedding, and deep learning.