Post
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I am developing a personal project to further support and help people living with Depression and Anxiety. As I suffer mainly from chronic depression I would like to create a tool based on AI that can monitor my moods but first I will collect information about myself, my moods and after collecting at least 6 months of my moods and my writings I will be able to formulate as a kind of recognition when my emotions are “out of control” I mean those states or feelings of emptiness. I think that sometimes not all of us have access to treatments and therapies so I would like to develop in a free way this project that I have just started today. I have already started the code to register events of my moods. I will share with you the updates :D
Yes, I speak Spanish :P too
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.metrics import accuracy_score, classification_report
import nltk
from nltk.corpus import stopwords
import string
import matplotlib.pyplot as plt
from datetime import datetime
nltk.download('stopwords')
data = {
'text': [
"Hoy me siento bien, aunque un poco cansado",
"Me siento triste y solo",
"Esto es frustrante, todo sale mal",
"Estoy nervioso por lo que va a pasar",
"No puedo con este estrés",
"Todo está saliendo bien, me siento optimista",
"Siento miedo de lo que pueda suceder",
"Hoy fue un día horrible"
],
'emotion': [
'felicidad',
'tristeza',
'enojo',
'ansiedad',
'ansiedad',
'felicidad',
'miedo',
'tristeza'
]
}
df = pd.DataFrame(data)
# Función para limpiar el texto
def clean_text(text):Yes, I speak Spanish :P too
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