NLP – Sentiment Detector.

In this block, the tokens or words that are introduced are basically analyzed and classified so that they have a negative or positive meaning. This can help us to further classify some type of user’s conduit if it will carry out some type of clinical or statistical analysis.

Example in asking teenagers how they feel in the morning based on a word that they can give through the smartphone, with this classification in a defined time or programmed period of an interval of days or weeks we can carry out a study of an individual creating a regression analysis to know the trend of a teenager’s mood in this case and thus be able to prevent a situation of depression or support it.

Based on the previous results, we can apply a regression or classification by weekly periods to infer the mood of an adolescent.

Or, if applicable, try to show the trend by month or longer periods.