text
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 
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 
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```
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):
```
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):
new_line
text
Yes, I speak Spanish :P too 
Yes, I speak Spanish :P too 
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 


```
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 
👀
John6666 foilmang Ardvark123
👍
k-young Ardvark123
🤗
diwank mkemka
https://cdn-avatars.huggingface.co/v1/production/uploads/6636ddc8e036475309d0f8b7/XLHvRCjxMtFEWzvWKYewA.png
Messmerbox
loztcontrol
user
https://cdn-avatars.huggingface.co/v1/production/uploads/65a76f3cac3a06f3e8bdf9f5/hYTFOYj1Pca0ZOugSE42o.jpeg
Pankaj Singh
Pankaj8922
user