The opinion based analysis for stressed adults using sentimental mining model

This research describes an opinion-based analysis for stressed adults using a sentiment mining model. The sentiment mining model uses Machine Learning (ML) and Natural Language Processing (NLP) techniques to analyze the sentiment expressed in text. The model first extracts comments related to stress from online sources and then performs sentiment analysis on them. Once the sentiment is extracted, specific techniques are used to identify the root causes of the stress and suggest possible solutions. The model is evaluated using various metrics, and results are discussed. The findings suggest that the model is able to accurately identify the sentiment and provide meaningful insights into the causes of the stress. It also provides potential solutions for people experiencing stress.