extract attributes from list

Question

I am a novice in python and I treat to extract emotions from list and put each attribute to its corresponding series to train machine learning algorithms for example this one instance in list and I want put anger in new series with its value= 0.013736263736263736 and so on.

"{'anger':", '0.013736263736263736,', "'anticipation':", '0.0027472527472527475,', "'disgust':", '0.03296703296703297,', "'fear':", '0.0027472527472527475,', "'joy':", '0.0,', "'negative':", '0.06043956043956044,', "'positive':", '0.019230769230769232,', "'sadness':", '0.0027472527472527475,', "'surprise':", '0.008241758241758242,', "'trust':", '0.019230769230769232}'] thanks in advance

Answer 1

You can manipulate with dictionary and sentiment in many ways, let me show a few:

1. Add item to collection, sample

def calc_sentiment(word: str):
    return 0.5

def Add_to_Collection(sentense: str):
    sentiment={}
    for word in str.split(sentense):
        sentiment[word]=calc_sentiment(word)
    return sentiment

test='My name is John Cache. It is my real name.'
print(Add_to_Collection(test))

you can see outputs:

{'My': 0.5, 'name': 0.5, 'is': 0.5, 'John': 0.5, 'Cache.': 0.5, 'It': 0.5, 'my': 0.5, 'real': 0.5, 'name.': 0.5}

2. Add item to collection with sum of sentiments, sample

def calc_sentiment(word: str):
    return 0.5

def Add_to_Collection_Sum(sentense: str):
    sentiment={}
    for word in str.split(sentense):
        sentiment[word] = sentiment[word] + calc_sentiment(word)  if word in sentiment else calc_sentiment(word)
    return sentiment

test='My name is John Cache. It is my real name.'
print(Add_to_Collection_Sum(test))

you can see outputs (see value 1.0 for 'is'):

{'My': 0.5, 'name': 0.5, 'is': 1.0, 'John': 0.5, 'Cache.': 0.5, 'It': 0.5, 'my': 0.5, 'real': 0.5, 'name.': 0.5}

3. Add item to collection with list of all sentiments, sample

def calc_sentiment(word: str):
    return 0.5

def Add_to_Collection_AddToList(sentense: str):
    sentiment={}
    items=[]
    for word in str.split(sentense):
        if word in sentiment:
            items=sentiment[word]
            items.append(calc_sentiment(word))
        else:
            sentiment[word]=[calc_sentiment(word)]
    return sentiment

test='My name is John Cache. It is my real name.'
print(Add_to_Collection_AddToList(test))

you can see outputs (see double values [0.5, 0.5] for 'is'):

{'My': [0.5], 'name': [0.5], 'is': [0.5, 0.5], 'John': [0.5], 'Cache.': [0.5], 'It': [0.5], 'my': [0.5], 'real': [0.5], 'name.': [0.5]}