S

Sentiment Analysis

A Neural Network built using Keras that scores text for sentiment

29
S

Sentiment Analysis

A Neural Network built using Keras that scores text for sentiment

The problem Sentiment Analysis solves

Every year close to 800 000 people take their own life and there are many more people who attempt suicide. Every suicide is a tragedy that affects families, communities and entire countries and has long-lasting effects on the people left behind. Suicide occurs throughout the lifespan and was the second leading cause of death among 15-29 year-olds globally in 2016. Stress In students is a worrying factor and many times it leads to depression/hypertension and few cases students may take drastic steps. The majority of the students use a smartphone and are very active on social media. The solution needed to understand the psychological and emotional state of the students by analyzing their social media behavior. The sentiment analyzer will analyze the posts and articles on student's social media and can be used to predict their behavior.

Technologies used

Discussion